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Marketing AI Tools
Discover and compare the best marketing AI tools and software. Browse 203+ curated tools with reviews and rankings.
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Wingmen is an agentic outreach product that reads buying signals every day, starts the conversation and follows up until there is a call on your calendar. It runs in a web app or straight from Claude with the Wingmen MCP, and it is built for founders, B2B teams and agencies. Instead of working from a list of job titles, Wingmen surfaces the moment someone needs what you sell, attaches the reason why, writes the opener from what that person actually said, and keeps following up across LinkedIn, email and voice notes on autopilot until a meeting is booked. The product is positioned explicitly against the "list of job titles" approach to prospecting. Wingmen's Lead Radar shows a daily set of signals — 24 signals, read for you every day — and each one carries a score and a one-sentence reason. In the illustrated feed, a founder who wrote "Three months of referrals, then nothing" appears as a pain-language post at 9/10; a founder coach who commented on a competitor's launch appears as a competitor engager at 7/10; a founder who posted about onboarding for fintech appears as a post author at 8/10; a new Head of Growth three weeks into the seat appears as a job change at 8/10; and a CEO hiring a first sales rep appears as a hiring post at 9/10. The point is timing: the moment someone needs what you sell, with the reason why. The largest group of signals Wingmen reads is posts and engagement. Pain-language posts catch people who wrote about the problem in their own words. Niche post engagers engage with posts about the space you work in, while topic post engagers engage with posts on the topics your buyer cares about. Competitor post engagers engage with a competitor's posts, and engagers on your posts liked or commented on what you posted. Wingmen also reads post authors — the person who wrote the post, not only the people reacting — and handles the company page to person case, where a company page posts the signal and Wingmen finds the person to write to. Event attendees cover who is going to the events your buyer goes to, and the follower pool covers people who follow you, or the voices your buyers listen to. A second group covers hiring and workforce movement. Hiring posts and job listings flag companies hiring for the problem you solve; job changes catch someone new in the seat, still making their first calls; companies hiring fast have many open roles at once, meaning the team is scaling; and growing teams show headcount climbing month over month. Company and market signals sit alongside these: website changes such as new pages, new pricing or a new product on their site; podcast mentions where they talked about the problem on a podcast; and news mentions of a launch, a press mention or a move that opens a need. Wingmen also reads advertising, technology, financial and regulatory signals. Companies running Google ads are spending on growth right now. Tech stack changes show a company that added or dropped a tool your product sits next to, and GitHub activity shows their engineers building in your space. On the financial side, funding posts indicate a company that just raised and has budget to spend, while Form D filings surface a fresh raise straight from SEC filings. When the day is quiet, cold search tops up the pipeline: cold search matches title and industry to your buyer, lookalike search finds people who look like your best-fit leads, and target accounts track movement at the accounts you name. Once a signal is caught, Wingmen runs a four-step sequence the site describes as "four wingmen, one booked call." Step one, the scout, spots the signal — a post about the problem, a new hire, a job change — the day it happens. Step two, the scorer, gives every lead a score and a reason in one sentence, and the opener is written from that reason, in your voice. Step three, the messenger, reaches out on LinkedIn first; if there is no reply, email or a voice note picks it up in the same sequence, on autopilot. Step four, the closer, brings replies into one inbox with an answer already drafted, and the meeting goes on your calendar. Wingmen can also be run from Claude. Connecting Wingmen to Claude as a custom connector lets you run outbound in plain words from the chat you already have open — asking for founders hiring their first sales rep returns leads the radar found that week, and a follow-up "yes, go" starts the agent on all of them. Two further capabilities extend outreach: voice notes are an add-on that lets you clone your voice once, after which Wingmen records a short note for each person based on their signal; and comment automations turn comments on your posts into conversations — someone comments the keyword, the DM goes out, and the thread joins your inbox. The stated outcome is a booked call rather than a list. Buyers are found daily, each with a written reason; outreach runs across LinkedIn, email and voice notes; every reply is read and sorted, ready to book; and every feature is included with no tiers, up to 600 leads a month per seat. Because the opener is written from the reason attached to the signal, the first message carries the context of what the person actually said or did instead of a generic pitch, and because the follow-up continues on autopilot across channels, a lead that does not answer on LinkedIn is still picked up by email or a voice note in the same sequence. Concrete scenarios follow directly from the signals the product reads. A seller watching for hiring signals can ask Wingmen for founders hiring their first sales rep and start the agent on everyone it found that week. A team can reach out to people who wrote about the problem in their own words, or to people engaging with a competitor's posts. A quiet day can be topped up with cold search, lookalike search or movement at named target accounts. Anyone who comments a keyword on your own posts can be turned into a DM conversation through comment automations, and voice notes let you add a personal spoken touch to each lead at volume. Wingmen is built for founders, B2B teams and agencies. The maker, Nemanja Milic, describes it as the agent he built because he sells without a sales team. Pricing is a single seat plan at $69 per month, discounted to $48.30 per month per seat with the PH30 code during the Product Hunt launch, at 30% off for life and valid until Dec 31. A 7-day free trial is available, and if you would rather have Wingmen run it for you, Concierge Outbound starts from $999/month. In short, Wingmen's value proposition is timing plus follow-through: it reads buying signals every day, explains why each lead matters, writes the opener from the signal itself, and keeps working the sequence across channels until a call appears on your calendar.
OpusClip 4.0 is an AI video editing tool that takes a raw take and returns a finished video. According to the company, it was built for talking videos: users drop in raw footage or paste a link, switch on options such as speech cleanup, captions and B-roll, and receive a finished video back. The product is aimed at the kind of creator who records a two-minute product update on a phone between meetings, a dentist answering patient FAQs on camera each week, or someone teaching an audience how to make high-protein meals. Its stated purpose is to give a team of one some of the range that media companies get from a room full of editors, so individuals can post often and in many formats without hiring an editor. OpusClip originally described itself as built to "slice a clean fish." Early users brought finished videos, such as a podcast episode that was already edited or a keynote someone had cleaned up, and OpusClip found the best moments and turned them into clips. That worked, and the company notes that scrolling a feed for a few minutes gives a good chance of seeing a clip that came through OpusClip. But what people bring has changed: increasingly it is a raw take that nobody has had time to edit. The company observes that many founders and operators now have to make video content because that is where their customers are, yet almost none of them enjoy editing. They film in one take because they know they will never get around to cutting it, and they post it as is; many already have a good video sitting on their phone, filmed weeks ago and never edited. For a while OpusClip kept improving clipping and left the hardest part, the edit itself, to the user; version 4.0 takes that on. Auto-edit is the headline addition. It is built for talking videos: users drop in raw footage or paste a link, then switch on speech cleanup, captions, B-roll and more, and what comes back is a finished video. The value is that the step where most solo creators stall, actually cutting the take, is handled automatically, so a recording that would otherwise sit unedited on a phone can become something publishable. Because the controls are switches rather than a timeline, the workflow stays simple for people who do not enjoy editing and do not want to learn a professional editor. Every format means one edit can become whatever the user needs that week: 60 to 90 second highlight clips, a 3 to 5 minute extended cut, or a quick lo-fi update. This addresses the company's point that people who stay top of mind post often, in a lot of formats. Recipes address repetition: most people make the same kind of video over and over, so OpusClip lets users save their setup as a Recipe, or start from one of the built-in Recipes, and the next video gets edited the same way. Recipes turn a one-off success into a repeatable style, which is useful for a weekly series where every episode should look and feel consistent without being rebuilt from scratch. Viral Hook and Motion Graphics cover two tasks the company says editors spend hours on. Viral Hook gives the first few seconds of a video a hook style chosen from a template library, targeting the opening moments that decide whether a viewer keeps watching. Motion Graphics turns what the speaker says into animated icons, numbers and charts on screen, so spoken points become visual elements without a motion designer. Together they add polish that usually requires specialist work, applied to the talking video being edited. AI Producer lets people who already work in ChatGPT or Claude edit from there with an OpusClip plugin: the user shows it a style they like and it edits the footage to match. This meets creators inside tools they already use rather than requiring a separate editing session. Clipping has not gone away. The company says it is still what OpusClip is best known for and is still getting better, just one part of the product now, and it describes turning long videos into clips and publishing them to all social platforms in one click. The overall approach is to cover the whole path from raw take to every format a creator posts, rather than only the moment-finding step. A user brings footage or a link, selects cleanup, caption and B-roll options, optionally applies a saved Recipe or a hook template, and receives a finished video; the same edit can then be output as a short highlight, an extended cut or a quick update. For those already working in a chat assistant, the plugin moves the editing instruction into ChatGPT or Claude, where the user shows a style and the footage is edited to match. The stated benefits follow that workflow. The edit no longer stalls, so recorded footage actually gets published instead of sitting on a phone; a solo operator gets some of the range of a full editing team; Recipes keep styling consistent across repeat videos; Viral Hook templates handle the opening seconds; Motion Graphics add animated icons, numbers and charts without an editor; and one edit stretches across multiple formats. The company frames 4.0 as a starting point, with more planned around the edit in later releases. Concrete scenarios named in the content include a founder recording a two-minute product update on a phone between meetings; a dentist answering patient FAQs on camera every week; someone teaching 3,000 followers how to make high-protein meals; podcast episodes and cleaned-up keynotes being clipped into their best moments; weekly series that reuse a saved Recipe; and quick lo-fi updates versus 60 to 90 second highlights or 3 to 5 minute extended cuts from the same edit. The company stresses that a big audience or an editor is not required. Target users are founders, operators, dentists, educators and small-audience creators who make talking videos themselves. Pricing details in the content: a Free Forever Plan, described as creating and posting one short video every day for free; a Pro monthly plan; and a launch offer of 40% off the first month of Pro (monthly plan) via a coupon code. The page also shows related OpusClip tools: OpusSearch, which uses AI to surface the exact clip you need from hours of footage in seconds, and Agent Opus, which runs research, scriptwriting, storyboarding, motion, voice and edit. The company states that OpusClip is used by more than 20 million creators and brands. OpusClip 4.0's takeaway is simple: it moves beyond clipping to editing the raw take itself, so one recording can become a hook-led short, an extended cut and a quick update without a timeline, an editing skill, or a team. For anyone whose good videos are stuck unedited on a phone, that is the difference between having footage and publishing it.
Orphex MCP is a unified Model Context Protocol gateway that connects a digital marketing stack to the AI assistants teams already work in. It links supported advertising, analytics, commerce, subscription and app growth accounts, then brings that performance data into conversations with Claude, ChatGPT, Microsoft Copilot, Grok, Cursor, VS Code and Gemini CLI. Orphex describes itself as a connection layer between many platforms and one AI assistant, with tools to read performance and request supported changes. The product is built for data-oriented marketing teams that want to ask questions about their own account numbers and get answers from their connected sources, rather than opening yet another dashboard or export. Marketing analysis normally lives across a patchwork of systems. Ad platforms hold spend and conversions, analytics tools hold acquisition and on-site behavior, commerce platforms hold products and sales, and warehouses hold still other tables. The Orphex site frames the everyday problem as tab switching and repeated exports: teams move between multiple platforms to answer a single question, then rebuild context by hand. Orphex places the AI assistant at the start of that workflow instead of at the end of an export. The company states its aim is to move AI beyond QA and empower it to analyze integrated performance and take every action a human marketer can, such as reallocating budgets, pausing unprofitable creatives or adjusting products from a single prompt. The connection layer covers a broad set of sources grouped into Advertising, Analytics, Commerce, App growth, Data warehouse, Subscriptions and Creative. Advertising sources listed on the site include Meta, Google Ads, TikTok, LinkedIn, Pinterest, Snapchat, Reddit, Microsoft Ads, Criteo, DV360, Apple Search Ads, Amazon Ads, X Ads, OpenAI Ads, AppLovin Ads, Unity Ads, Yandex Direct, Taboola, RTB House and Akakçe. Analytics coverage includes GA4, Search Console, Tag Manager, CM360, YouTube, Facebook Page, Meta Pixel, TikTok Pixel, Microsoft Clarity, Similarweb, Context dev, Amplitude and HubSpot. Commerce lists Shopify, IKAS, Ticimax, T-Soft, Akinon, Merchant Center, Meta Catalog, TikTok Catalog, Klaviyo, Insider One, SAP Emarsys, Customer.io and D·engage, while app growth covers Adjust, AppsFlyer, Singular, Google Play, App Store Connect, AppLovin MAX, Appfigures, OneSignal, Unity LevelPlay and AdMob. RevenueCat and Adapty cover subscriptions, BigQuery supplies warehouse-backed context, and Creative includes Content Automation Creative, Higgsfield and Playablex. Orphex notes that coverage and available actions vary by platform and account permissions. Those connections bring in spend, conversions and campaign performance, and the site states that a user's own account data becomes the basis for each question. On top of the data, Orphex adds a Skill Catalog of prepared reviews, action procedures and report templates that give the assistant a method to follow. The example given is a weekly performance review: read the connected sources, compare complete periods, surface the main changes and prepare the next steps. The site also mentions creative fatigue and anomaly investigations with eligible skills, executive summaries and budget reallocation proposals with sources and guardrails. Curated guidance helps the assistant choose the next step, use the right metrics and check the evidence before drawing conclusions, and Orphex is careful to note that a report or proposal does not itself change an advertising account. Every requested change stays within the user's access. The assistant prepares the change and shows a preview, and nothing runs until the user confirms it; a workspace can also require a teammate's approval. The site illustrates this with a proposal that moves $500/day from Brand Search to Performance Max while keeping total daily budget at $3,200 unchanged, and it explicitly states that the proposal does not predict a performance improvement. Orphex also says every change is logged and protected by safety guardrails. On security, the site lists GDPR and KVKK compliance for EU and Turkish data protection law, ISO 27001 audited security processes, and SSL/TLS encryption for all platform traffic with enterprise-grade network protection. Overall, the product is presented as a seven-layer stack. Connected Platforms bring in advertising, analytics, commerce and app growth accounts. Performance Data adds spend, conversions and campaign performance from those accounts. Orphex MCP is the single connection layer that exposes tools to read performance and request supported changes. The Skill Catalog supplies prepared reviews, action procedures and report templates. Curated Guidance helps the assistant pick the next step and the right metrics. Access & Approval keeps each change inside the user's permissions with a review step. AI Assistants are where the user actually works: they ask a question, explore the answer and decide what happens next. Setup is described as taking a few minutes with a single sign-in. The stated benefits follow that structure. Users start with a question instead of another export, compare the same metric across two complete periods while keeping source, dates and numbers in view, drill into the campaign behind a change, and turn a finding into a focused review before acting. Because the assistant answers from connected account data, the conversation keeps the definition of each metric visible and flags missing data. Routine work gets a head start from curated skills, so teams keep the method and skip the blank page. Orphex also states that users do not need to replace their dashboards: they can investigate a question in conversation and follow the evidence back to existing tools for a deeper view. The site's documented use cases read as concrete workflows. For advertising performance and actions, teams compare campaign spend, conversions and efficiency across complete periods, drill into ad, keyword and creative reporting, and review supported budget or status changes before approval. For analytics and customer journeys, they put GA4 acquisition and Search Console organic performance in the same discussion while keeping each source's metric definitions visible. For commerce and product performance, they connect marketing questions to products and sales in Shopify, IKAS, Ticimax or T-Soft and prepare a product performance summary. For subscriptions and app growth, they read RevenueCat project overviews, Adapty subscription charts and attribution data from Adjust and AppsFlyer. For warehouse-backed context, they bring supported BigQuery datasets into the same marketing review. And with curated skills, they run weekly performance reports, executive summaries, creative fatigue checks and anomaly investigations. Orphex targets data-oriented marketing teams, including teams managing $30M+ in monthly ad spend, and lists brands such as Paşabahçe, Arby's, Vestel, Burger King, Bilyoner, Popeyes, Karaca, Sbarro, Beymen, Usta, Getir, DeFacto, Mavi, TurkNet, SneaksUp, TatilBudur, Avansas, Altınyıldız, QNB, Edenred and Analytica House as users. Pricing runs from a Free plan at $0 with 250 reads per month, 50 writes per month, one user, one workspace, three account connections and all data sources; a Read plan at $33.32/month billed yearly at $399.90 with 2,000 reads, ten users, three workspaces and 25 connections; and an Action plan at $124.99/month billed yearly at $1,499.90 with 2,000 reads, 500 writes, ten users, three workspaces and 100 connections. Enterprise offers custom limits, contract billing and onboarding support. Yearly billing includes two months free, and every plan works with Claude, ChatGPT, Microsoft Copilot, Grok and Cursor. In short, Orphex MCP consolidates a fragmented marketing stack into one connection layer so an AI assistant can answer questions from real account data and prepare controlled changes for human approval. The value proposition is continuity: the same conversation moves from signal to evidence to a reviewed next step, while permissions, approvals, logging and compliance keep the marketer in control.
Flockbay is a free AI game maker built on Godot: a desktop app for Windows, macOS and Linux that hosts the full Godot editor with an AI agent and an MCP server built in. The agent writes GDScript and scenes into your Godot project, places props, builds rigged 3D models, finds plugins and playtests the game. The same app then goes on to cut trailers and Shorts from your real gameplay and draft your Steam page. It is built for developers making a Godot game they intend to ship and market, and it works with Godot 4.6+, GDScript and C#. Building a game is two jobs that usually live in different tools: writing and debugging the game itself, and then convincing players to wishlist and buy it. Flockbay is designed around the loop that actually finishes a game - write, run, read what Godot reported, fix, play again - and around the marketing work that follows. Instead of leaving you with code you have not seen run, its agent plays the game with input events, reads the live scene tree, the profiler and Godot's errors, fixes what it finds and plays again. You judge the result by playing it. Once the game exists, the agent moves on to store pages, trailers, websites, social posts and ads, all drafted inside the same editor. The editor is the real thing: the full Godot editor, opening in Minimal with Standard and Full one switch away, with Godot, standard and .NET, included. You choose the AI. Flockbay's own hosted AI is free to start, with a model menu that includes Demo (free to start), Auto (picks the model for each task), Claude Opus 5.5 as the recommended option, GPT-5.5 from OpenAI and Gemini 3.1 Pro from Google. Or bring your own AI: Claude Code on your Claude plan, ChatGPT through the bundled Codex engine on your ChatGPT plan, OpenRouter for 100+ models on your own key, or an agent over MCP such as Codex, Cursor or Gemini CLI. Your own agent is free - Flockbay sets no limit of its own, and your plan's limits apply. Playtesting is where the agent closes the loop. It plays with input events, reads the live scene tree, the profiler and Godot's errors, fixes what it finds and plays again. A real tool call shows an agent running `flockbay_run_headless` on a script, which quit by itself with exit code 0 and reported 0 errors and 0 warnings. The page shows a worked example: a SCRIPT ERROR in `hud._drop_note()` occurring 14 to 35 times per scripted demo run, where signing an offer after the first morning's note had gone passed the freed note to a typed argument. The agent added an `is_instance_valid(note)` guard, and nine scripted demo runs afterwards produced 0 SCRIPT ERRORs. The agent sends input with `flockbay_game_input` and captures the viewport with `flockbay_game_screenshot`. Content creation sits in the same editor. Blender is built in, so your agent models props and characters in it, and placeholder 3D models come from Tripo on your own key for you to swap out. A library of Godot add-ons lets the agent find and install plugins. ElevenLabs works with your own key for music, sound and voice, and your agent can make looping placeholder tracks in your game's style, saved into your project at `assets/Audio/Music`, for you to swap for your own. Paid plans add pictures and sound on every chat. Every change is reviewable. The command palette (Ctrl/Cmd+Shift+P) reaches every action in the window by name, and `/model`, `/compact`, `/undo` and `/review` work at the start of a message while `@` adds a file or asset. Permission modes (Ctrl/Cmd+Shift+M) cover Plan mode, Ask before edits and Edit automatically, with Full access in the menu. Review changes lists every file a turn changed with Revert per hunk, per file and for the whole turn. A transcript view switches between Normal, Thinking and Verbose, chats can sit side by side, and you can open the project in VS Code, Cursor, Rider or Zed, or in Terminal at the game's folder. Command line flags include `--open-game` and `--your-own-agent on`, version control (Ctrl/Cmd+Shift+G) commits, pushes and pulls with Git and GitHub, and Flockbay's skills and hooks can be installed for Claude Code and Cursor. What makes the approach distinctive is where the output lives. Your game stays a plain Godot 4 project on your own disk, on the official engine, not a fork, and it opens as a plain Godot 4 project in stock Godot. Games run locally on the copy of Godot bundled with the app - no streaming, no cloud rendering, no cloud building - and projects and assets are private. There are no royalties. An MCP server inside the editor exposes Godot tools to outside agents; Flockbay can print the `claude mcp add` or `codex mcp add` line, add the server to Cursor or VS Code, and a setup prompt asks your agent to check the connection and read the project before it changes anything. For users, the outcome is a game that has actually been run and repaired rather than code that has only been written, and every file the AI touched can be reviewed, reverted hunk by hunk, and opened in stock Godot or your own editor whenever you want. The marketing side produces assets you would otherwise have to make by hand: a trailer cut from your own Play sessions with music and titles, Shorts with captions, a Steam page draft with copy, tags, capsules and content survey, a website with wishlist buttons and an email signup, and ads written and cut from your gameplay. Free covers the app, Godot and your own AI, plus free hosted AI to start and one free video in Video studio. Use cases in the content show the range. Build logs document agents producing a 500-enemy horde with no enemy stuck, a six-legged walker, a physics truck on a mountain trail, a jump that feels like Celeste, a character controller for stairs and slopes, and a save that remembers everything. The team's own game, Shelf-Made Tycoon, is a cozy logistics tycoon on Godot 4.7 coming soon to Steam, used to illustrate a card that switched under the cursor, a drafted Steam page, a published website at shelf-made-tycoon.flockbay.app, a Short cut from a play session and a wishlist push before Next Fest running across Instagram, Facebook, TikTok, Reddit and YouTube at $40 a day. Market research shows another workflow: the agent compares your idea with similar games on Steam - their prices, reviews and estimated sales - reading prices and reviews from Steam and estimating units as reviews multiplied by 30 to 60. In the example, 15 comparable games for a cozy warehouse tycoon are listed, the closest match is Wilmot's Warehouse at 96% positive and $14.99, and the suggestion is to launch at $14.99 with a 10-15% launch discount, holding $19.99 until there is more content. Flockbay requires 64-bit Windows with an Intel or AMD processor, Macs with Apple Silicon, or an x86_64 Linux AppImage on Ubuntu 22.04, Debian 12 or Fedora 39 (glibc 2.35) or newer, with a GPU supporting Vulkan 1.0 or OpenGL 3.3. There is no browser version, browser editor, browser preview or mobile app. Pricing is free ($0) with free hosted AI, your own Claude, ChatGPT or agent, every editor feature and one free video in Video studio; optional plans are Hobby at $20, Indie Developer at $60 and Studio at $200 a month, and Studio adds 20 social accounts, 8 ad accounts, 25 published websites and 100 live playtest links. There is no team, per-seat or enterprise plan. Flockbay's value proposition is a single desktop app where a Godot game is written, playtested, repaired, reviewed and then marketed, with the project remaining an ordinary Godot project you own and can open in stock Godot at any time. The team states its intent plainly: it builds Flockbay for games worth playing - made with AI, played by people, and polished until they are beautiful.
Ghostlaunch is a seven-day validation service for startup ideas that have not been built yet. A founder describes the idea in a few sentences, and Ghostlaunch asks a handful of questions to get the details right. From there the service builds a landing page written and designed to convert, complete with the founder's pricing, fast on any phone, and then puts real people in front of it. Every button on that page opens a 'coming soon' note that asks for an email. Ghostlaunch finds people on Reddit, X and LinkedIn who are already asking for a fix to the problem the idea solves, reaches out to each one about what they asked, and tracks every visit, scroll, click and email for seven days. On day 7 the test closes and a full report arrives: who came, how far they read, which plan they reached for, whether to build it, and every lead, ready to contact. The product sums the division of labour up as 'five minutes of yours, seven days of ours.' Ghostlaunch exists because, in its own argument, the usual ways to validate an idea share the same flaw: nobody has anything at stake. Asking AI means the model has read everything about your market but has never wanted to buy anything. Asking friends means they will tell you what you want to hear, because saying yes costs them nothing. Surveys produce hypothetical answers to hypothetical questions, and 'I would pay for that' is free to say. Feedback swaps are coloured by the other person's own launch. Market research tells you the market exists, not that anyone wants yours; Ghostlaunch calls it homework, not proof. Building first is expensive too. Ghostlaunch's own tally runs to 300 hours for the MVP, 40 hours designing it and writing the page, $600 for domain, hosting and tools, 20 hours of launch posts, DMs and cold emails, $500 of ads for first visitors, and 30 hours refreshing the dashboard for signups, plus endless second-guessing: 390+ hours and $1,100 to find out nobody wanted it. The only test Ghostlaunch treats as valid is putting a real page in front of people who are already looking for a fix, and watching what they actually do. The first half of the service is the page itself. Ghostlaunch writes and designs a landing page made to convert, includes the founder's pricing, and keeps it fast on any phone. Every button opens a short 'coming soon' note that asks for an email and sometimes one follow-up question, so nobody is charged and nothing is sold. The page is editable before the test starts: a founder can change any text or rewrite a section with one click. Ghostlaunch publishes examples of what these pages look like, built from the idea underneath each one, for products that do not exist yet: Paylark, a tool for freelance designers that automatically chases late invoices with polite, escalating reminders; Migalo, an app for neighbourhood bakeries that alerts locals over WhatsApp when fresh bread comes out and lets them reserve before it sells out; Nibblo, an app for parents of picky eaters that suggests tiny, realistic next foods from a photo; Strainly, a Slack bot for remote engineering managers that spots quiet overload; and Slotpup, a booking tool for independent dog groomers that fills last-minute cancellations from a waitlist. A gallery of 44 more examples is linked from the site. The second half is distribution and measurement. Ghostlaunch does the outreach itself: it finds people on Reddit, X and LinkedIn already asking about the problem the idea solves, keeps only the ones who clearly want a fix, and reaches out to each one about what they asked. Founders do not post, DM or ask anyone. Ghostlaunch addresses the obvious objection directly, stating that it only reaches people who are already asking about the problem, one conversation at a time, with no mass posting and no bought lists. That is what makes the traffic meaningful rather than a vanity number: the visitors arriving at the page are people who had already described the problem in public before the page existed. Measurement is continuous and public to the founder through a live dashboard. The site shows the feed filling up during a test on day 3 of 7: a visitor from a Reddit DM reached Pricing, clicked 'Get Team' on the Team plan, opened the waitlist and joined it; a visitor from a Reddit comment reached the FAQ and opened a specific question; a visitor from X reached the footer and scrolled 100%; a visitor from LinkedIn reached How it works. Every visit, scroll, click and email is tracked in that dashboard whenever the founder looks. At the end of the seven days, Ghostlaunch closes the test and writes the report: the verdict, the numbers behind it, what visitors told us, and what to change if you run it again. A published sample report for an idea called Shiftswap returned a 'Promising' verdict with 140 visitors, 8 emails, 6% of visitors leaving an email and 34% of button clicks going to a paid plan, plus a recommendation to build the smallest version, starting with the restaurants that left an email. If almost nobody shows up, the verdict says 'not enough data yet' below 100 visitors, together with how many more visitors it would take; Ghostlaunch states it never stretches a small sample into a conclusion. The overall method is deliberately linear, and Ghostlaunch frames it as sending the ghost first: watch the idea go out before the code does. The founder describes the idea, Ghostlaunch builds the page, Ghostlaunch finds the high-intent leads, Ghostlaunch measures everything, and on day 7 it delivers the verdict. The pitch throughout is to pay for answers rather than for code you will throw away, and the closing line is 'Don't build it yet. Ghostlaunch it.' After day 7 the page and the data stay in the founder's dashboard rather than disappearing, so the test can be revisited, relaunched or rewritten later on a subscription plan. Because the whole cycle is short and the output is a report rather than a product, the benefits are stated in terms of decisions rather than features. A founder gets a verdict grounded in what visitors did, not in what they said, along with the underlying numbers: how many came, how far they read, and which plan they reached for. The emails collected are the founder's to keep, stored with the plan each person picked and what they told Ghostlaunch, visible in the dashboard as they arrive, included in the day-7 report and exportable to CSV at any time. The report also records what visitors said and what to change on a second run, so a negative result still leaves something actionable. And the cost of being wrong drops from the estimated 390+ hours and $1,100 of building first to seven days and the price of a test. Concrete workflows follow directly from the published examples. A founder with a Slack bot idea for remote engineering managers can see whether managers click through to a paid plan before writing any bot. A maker with a booking tool for dog groomers, a reminder tool for freelance designers, a feeding app for parents of picky eaters or a WhatsApp reservation app for bakeries can put the pitch in front of people already complaining about those problems. Founders who are unsure what to build can start from Ghostlaunch's idea library, which it built by reading 1,452 posts where people asked for help and turning what they keep asking for into 50 ideas, each with the posts behind it, grouped into AI business ideas, app ideas, online business ideas, SaaS ideas and small business ideas. Founders working through a notebook of ideas can queue several tests rather than running one. Ghostlaunch is aimed at founders who have an idea but have not built it, including those testing in batches. Pricing reflects that: One test costs $49 once and includes the page built and hosted, 7 days of outreach to high-intent leads, every email collected yours to keep, the live dashboard and the day-7 report. Founder is $99 per month and is marked as recommended for a notebook full of ideas, with 3 tests a month, the ability to rewrite any section and relaunch any page, and everything in One test. Studio is $249 per month for testing in batches, with 10 tests a month, everything in Founder, and priority for its tests. Separately, the team notes that Ghostlaunch itself is for ideas you have not built yet, and points founders with a live product to ReplyHey, which finds people on Reddit, X and LinkedIn asking for what you sell, writes the reply and posts it from your account every day. In short, Ghostlaunch replaces encouragement with evidence. One described idea becomes a converting page, targeted outreach to people already asking for a fix, seven days of click-level measurement and a written verdict with every lead attached, so the decision to build rests on what strangers did rather than on what friends politely said.
Widgeteer is an AI tool that builds working website widgets from a single sentence of plain English. You describe what you need — the site's own examples are "a cleaning quote calculator" and "a table booking form" — and Widgeteer produces a working widget in seconds. The range covers forms, quizzes, booking tools and calculators, with the widget library also listing galleries and saying there is "plenty more". The product is positioned for busy owners of shops, blogs, agencies, clubs, clinics and side projects: people who, in the site's words, "do not have an afternoon to spend in a form builder". Its promise is summarised in the three words used across the homepage — say it, see it, sorted — with "no setup, no keys, no code" needed to get from an idea to an embedded widget. Traditional form and widget builders assume you will spend time in a configuration interface: choosing field types, wiring up settings and figuring out where submissions go. Widgeteer frames that work as the product's job rather than the user's, under the heading "No tech. No config. No code." The site describes the target customer's constraint directly: "Whatever you run, you do not have an afternoon to spend in a form builder. Say what you need and get on with your day." It also addresses the common frustration that a generated widget can be close but not quite right, noting that "your widget is never stuck the way it came out" — you can fix a word yourself or ask for something bigger. Booking and enquiry widgets are a major part of what Widgeteer builds. A showroom appointment booking widget lets customers book a visit to a showroom by appointment only, and booked slots disappear for everyone else so there are no double bookings. A Calendly-style booking widget can be edited in the browser — picking the wording and colour scheme — before being embedded on any site. Restaurants and cafes get an OpenTable-style table booking form where guests pick a date, party size and time and then confirm, with no per cover fees. For enquiries there is a Typeform-style form that asks one question at a time, built on the site for a wedding photographer, and a floating WhatsApp chat button that shows your photo, a greeting and a ready-made message so visitors tap once and the chat opens in WhatsApp. Interactive marketing and calculation widgets round out the library. A cleaning business instant quote calculator lets customers price their own clean, with bedrooms, bathrooms, extras and a weekly discount adding up live before they book in two steps. A product recommendation quiz asks five questions, scores the answers and recommends the right product, collecting an email before showing the result. A spin-to-win discount wheel collects emails, with prizes and odds you set and a code shown to copy at checkout. A before-and-after image slider lets visitors drag a handle to compare work, with tabs for showing several projects. There is also a podcast player that puts your Spotify episodes on your own website, built for health and fitness coaches. Every widget stays editable after it is generated. Editing by hand lets you change any question, answer type, message or colour, move, copy or remove questions, and split a long form into steps. Editing with AI is the shortcut for bigger changes: need a new field, an extra step or a different layout, and you say it in plain English and Widgeteer makes the change. Before anything goes live, the preview is the real widget — you can fill it in and submit it before it goes anywhere near your site. The widget library also lets you open an existing widget, edit it and use it as the starting point for your own version, which is how many of the listed templates are presented. The overall workflow is three steps. First, ask in plain English: tell Widgeteer what you want — a booking form, a quote calculator, a countdown for Friday's drop — typed "like you'd text a colleague". Second, watch it appear: it builds a working widget in seconds, and forms actually submit; if you don't like a bit, change it by hand or ask again. Third, drop it anywhere: add it as a Shopify section, a WordPress block or a snippet of embed code, on a homepage, product page or landing page. Submissions are routed somewhere useful — every form actually works, and you can get an email the moment someone submits or send it to Zapier, n8n, Make or a webhook, with Airtable, Telegram and more listed as additional actions. The site stresses there are no keys to paste and no setup screens. The practical benefit is speed and control without technical work. Because widgets are described rather than configured, the gap between knowing what you need on a page and having it live is short — the site describes widgets appearing in seconds. Because everything stays editable both by hand and by asking, a near-miss result is not a dead end. Because submissions route to email, automation tools or webhooks without API keys, the widgets are functional rather than decorative. And because the preview is the real widget, you can test the actual submission flow before your visitors encounter it. For restaurants, the table booking widget also avoids per cover fees, which the site calls out explicitly. The demo section shows widgets combined into whole sites. Fieldnote, a children's learning and therapy centre in Leeds, uses a support finder quiz, a course list, fees, team profiles, parent reviews, free call booking, video lessons, a branching enquiry form and an FAQ. Rota Transfers, an airport taxi and transfer company in Lisbon, uses a live taxi fare quote and booking, car comparison, a price list, an arrivals guide, reviews, an FAQ and contact forms. Individual widget pages show narrower scenarios: a showroom visit booking, a cleaning quote, a skincare product finder quiz, a call booking form, an email-capture wheel, a before-and-after portfolio, a restaurant table reservation, a WhatsApp chat button and a wedding photography enquiry form. Widgeteer is built for busy owners — shops, blogs, agencies, clubs, clinics and side projects — rather than for developers. Distribution matches that: build the widget on Widgeteer and paste the embed code into any site, or use the Shopify app to add it to any theme, or the WordPress plugin to add it to any page. Pricing starts with a free plan and includes a 14-day trial on Premium, with no card required to start; several widget pages note that specific widgets are free to start. Documentation is organised around tasks such as editing a widget, changing a widget with AI, previewing a widget, and sending form submissions to email, Zapier, n8n, Make or a webhook. Widgeteer's core proposition is that a working, editable, embeddable widget should be one sentence away. Describe the form, quiz, booking tool or calculator you need, adjust it by hand or by asking, test it in a live preview, then embed it on WordPress, Shopify or any other site with submissions routed to email, Zapier, n8n, Make or a webhook — no code, no keys, no setup screens.
Greta.sh is an AI app builder and vibe coding platform that turns a described idea into a live, production-ready full-stack website or web app. You type what you want to make, Greta.sh builds it on screen, and it can be deployed with one click. Alongside the builder, Greta.sh offers Self-Growing Websites: sites that find what customers search for, write pages that answer those searches, and get you showing up on Google, ChatGPT, Perplexity and everywhere else. The pages it produces are content you review and approve. The platform is positioned as one place to design, build, launch, manage and grow a product, from first idea to live product. The starting point for the product is a question every builder recognises: you built a website or an app, so why is nobody visiting? Getting found on Google and on AI tools such as ChatGPT and Perplexity takes months of SEO and AEO work. Greta.sh frames its Self-Growing Websites offering as the fix for that gap. Instead of treating search visibility as a project you complete once, the site is designed to keep growing itself: Greta.sh finds what customers search for, writes pages that answer them, and works to get the site showing up on Google, ChatGPT and elsewhere. The Product Hunt listing summarises the pitch simply: don't just build a website anymore, build a customer magnet with Greta.sh. At the centre of the platform is a four-step build flow. Step one is to describe your idea: you type what you want to make, like you are talking to a friend, and the content stresses that no special skills are needed — your idea is enough. Step two is to see it built, as the idea starts turning into something visible on screen. Step three is to bring your own tools, connecting Claude, Gemini, Slack, GitHub and more so that Greta.sh brings it all together. Step four is to deploy with one click, where everything from your domain to search ranking to safety checks just works, with the promise that you can build today and launch today. The Full Stack feature supports this: you can build your full app, website and tools without writing a single line of code, and the platform distinguishes between a Self-Growing Website, a Web App and full stack, with a "Which one do I need?" prompt to help you choose. The Self-Growing Websites capability is the growth side of the platform. Rather than leaving search visibility to manual keyword research and page writing, Greta.sh finds what customers search for, writes pages that answer those queries, and keeps adding pages that you approve. Because the content is subject to your review and approval, you stay in control of what goes live while the system handles discovery and drafting. The stated aim is presence in both traditional Google search and AI search tools, which is where the SEO and AEO combination comes in: the pages are built to answer the questions customers actually ask, so the site can appear in search results and in the answers AI assistants give. The Greta.sh MCP is the control layer for people who prefer to work inside their existing AI assistant. With the MCP, you can run the platform from Claude, ChatGPT or Cursor: you ask it to build, grow, publish or report, and the work is carried out through the connected assistant. The MCP feature is described as connecting your tools, systems and data so everything works together smoothly. In practice this means the build-and-grow workflow does not require switching into a separate dashboard each time — a builder can stay in the assistant they already use and issue instructions in natural language, whether that is to add pages, publish approved content or produce a report. Beyond building and growing, Greta.sh bundles the supporting pieces a live site needs. Domain lets you launch your brand online with your own custom domain in minutes, and the deploy step folds domain setup together with search ranking and safety checks. Asset Manager keeps files, images, videos and content in one clean, organised place, so the media that supports your pages is managed rather than scattered. Templates give you a head start: the platform advertises a choice of 100+ templates, where you find one you like, click it, and Greta.sh does the rest — the library includes published examples such as an e-commerce frontend, an analytics template, a content dashboard, a marketing template and agency or portfolio-style sites. Support scales with your plan: community support on Free, email support from Starter, and priority support on Pro and Business. The overall approach is to keep the whole lifecycle in one platform rather than stitching together a builder, a host, a domain registrar and a content team. You begin with a prompt, watch the build appear, attach the tools you already use, and deploy — then the same platform keeps working on growth by finding search demand, drafting answering pages and waiting for your approval before publishing. The MCP extends the same control surface into Claude, ChatGPT and Cursor, so the build, grow, publish and report actions are available wherever you already work. The stated benefits follow from that loop. You can go from idea to live product quickly, because deployment handles domain, search ranking and safety checks and the platform promises you can build today and launch today. You do not need to write code, since the full-stack capability covers apps, websites and tools. You do not need to run a separate SEO and AEO programme from scratch, because the site is designed to find what customers search for and write pages that answer them on your approval. And you get a single place to design, build, launch, manage and grow, rather than a set of disconnected tools. Concrete scenarios described in the content include building a full-stack web app or a website from a plain-language description; launching a brand on a custom domain; and running a site that keeps adding approved pages aimed at what customers search for. The MCP scenario is explicit: running the platform from Claude, ChatGPT or Cursor and simply asking it to build, grow, publish or report. The template library suggests additional starting points, with published examples including an e-commerce frontend, an analytics template, a content dashboard, a marketing template, and agency and portfolio-style sites. The platform is presented for people with an idea rather than a development team — the build flow explicitly says no special skills are needed, just your idea. The connector wall shows the tools the product works with: GitHub, OpenAI, Slack, AWS SES, Resend and Netlify, plus Claude, Gemini, MongoDB, Google Analytics, Stripe and xAI. Pricing detail in the content is limited to support tiers: a Free plan with community support, a Starter plan with email support, and Pro and Business plans with priority support. The Product Hunt listing categorises the product under Marketing and SEO. Greta.sh combines an AI app builder with a growth engine: describe your idea, get a production-ready full-stack site or app, deploy it with one click, and let the platform find what customers search for and draft the pages that answer them for your approval. It is aimed at getting a new site found on Google and in AI tools like ChatGPT and Perplexity without months of manual SEO and AEO work, and at keeping build, growth and publishing under one roof.
TopAgent is the AI messaging agent inside TopMessage, an SMS and WhatsApp platform for campaigns, reminders, verification, and customer conversations. The platform brings three capabilities into one account: marketing campaigns, a messaging inbox, and messaging APIs. TopAgent sits on top of that platform and runs SMS and WhatsApp messaging from start to finish — according to the site, you say what you need and TopAgent finds the right customers, writes the message, sends it, and suggests your next move. It is built for teams that reach customers by text: sales and marketing, customer service, developers, and operations. The site positions the platform as ready to use in minutes, with SMS and WhatsApp in one place and a fully agentic assistant that helps teams get the work done and improve results. The problem the product addresses is the fragmentation of business messaging work. Campaigns, two-way customer conversations, and verification codes are typically different jobs with different tools, and the site notes that developers otherwise have to manage multiple providers to send messages worldwide, verify users, and handle replies. Messages also need to be relevant, timely, and compliant, which is why the platform pairs sending with segmentation, analytics, opt-out management, and approval steps. TopMessage's answer is to keep campaigns, an inbox, and APIs in a single business messaging platform, then layer an AI agent on top so that routine setup — choosing contacts, drafting copy, building a campaign — can be described in plain language rather than configured through settings. The stated purpose is to help teams reach customers and hit their goals without technical overhead. TopAgent is the core agentic capability, and the site describes it in three steps. In Tell, you set your goal by describing it in plain language, like you would brief a colleague; no settings are needed, and TopAgent asks if anything is missing. In Send, TopAgent segments contacts, personalizes messaging for each audience, and drafts campaigns. In Improve, TopAgent suggests the next best actions to help you capture opportunities and grow revenue. The agent does not talk to customers on its own: the FAQ states that it selects contacts, writes messages, builds campaigns, and suggests replies inside TopMessage for your team, and that nothing is sent until you approve it. Campaign summaries include approve and request-changes actions. Marketing campaigns let teams run personalized SMS and WhatsApp campaigns and track performance from delivery to click. The site lists advanced segmentation, automation, and engagement analytics as the supporting capabilities, and describes the workflow as creating segments, launching campaigns, and tracking results with AI-powered automation. A campaigns dashboard shows delivery, click, and opt-out statistics per campaign. For sales and marketing teams, the platform supports interactive WhatsApp messages for driving sales, and a retail customer story reports a 3.4x return on campaign spend and an 18% average click rate from weekly product drops announced over WhatsApp. The messaging inbox is a shared space for two-way SMS and WhatsApp conversations. Customer service teams keep messages from both channels in one shared inbox so the team never misses a customer, and the inbox includes templates and suggestions. The site's example is a number customers can text, with your team answering from the inbox, and a dental clinic story reports 45% fewer inbound calls and a 4-minute average reply time after moving patient communication to text. For developers, TopMessage offers a messaging API, a verify API, and webhooks, so teams can add SMS and WhatsApp to an app without managing multiple providers. The site says developers can send messages worldwide, verify users, and handle replies, and the Verify API sends one-time passcodes by SMS so every account belongs to a real person. Transactional use cases such as order and delivery alerts can be sent from your own system through the API. A delivery company story reports 27% fewer support calls and a 98.6% delivery rate, while a fintech story reports 4x faster OTP arrival and 61% fewer fake sign-ups. Integrations connect TopMessage to a CRM, online store, and automation tools so customer data stays in sync and the right message goes out at the right moment. The site names direct CRM integrations with HubSpot and Salesforce, along with Pipedrive, Zoho, Slack, Google Sheets, and Shopify in its integrations illustration, plus no-code automation with Zapier, Make, and Power Automate. For custom builds there is a REST API and webhooks. The FAQ notes that a CRM can be connected three ways: direct integrations, Zapier for no-code connections to 1,000+ apps, or the API with webhooks. The product's unique approach is the combination of a self-service platform and a natural-language agent with an approval gate. Onboarding is described in three steps: connect, where you create your account and start right away with no waiting for setup; engage, where you segment audiences, manage replies, and send campaigns using natural language with TopAgent; and analyze, where you see what worked and what to improve next with AI-powered insights. No technical skills are required because everything works in the web app, and if a step feels technical you describe what you want to TopAgent and it sets it up, while developers can still use the API for custom flows. TopAgent works with the contacts, templates, and campaigns in your workspace, within the permissions of the person asking, and every action it takes is logged. TopMessage is GDPR-compliant and includes built-in opt-out management, so contacts who unsubscribe are excluded automatically. Benefits described on the site are practical and measurable. Automated SMS reminders cut no-shows for a beauty salon by 30% and saved 6 hours every week while keeping every chair booked. A dental clinic cut inbound calls by 45% and answered in 4 minutes on average. A retail brand turned weekly product drops into a new revenue channel with WhatsApp announcements. A delivery company reduced where-is-my-order calls by 27%. A financial company sped up sign-up verification and blocked fake accounts. Across these stories the through-line is faster replies, fewer inbound calls, fewer no-shows, and campaigns that convert. The site lists six best ways to use TopMessage. Sales teams grow revenue with campaigns, driving sales with interactive WhatsApp messages. Support teams reduce calls with texting, offering a number customers can text while the team answers from the inbox. Reminders cut no-shows by connecting TopMessage to your calendar and automatically sending reminders. Internal messaging reaches staff who are not at a desk, such as shift changes and urgent notices read in minutes. Transactional messages keep customers updated automatically with order and delivery alerts from your own system. Security verification uses one-time passcodes by SMS with the Verify API, so every account belongs to a real person. Product Hunt adds a B2B event use case: filling a conference, summit, or workshop with SMS invitations and relevant follow-ups. Pricing works on a top-up balance: you add credit and pay for the messages you send, with prices depending on the channel and the destination country. Setup is self-service and most teams send their first message the same day they sign up, though verifying a phone number or sender can take a little longer. The platform is aimed at every team — marketing, sales, support, and operations — plus developers who need messaging APIs. Channels are SMS and WhatsApp, usable for campaigns, two-way conversations in the inbox, and through the API, all from one account. The overall takeaway is that TopMessage pairs a complete business messaging platform with TopAgent, an AI agent that segments, drafts, and suggests next actions while leaving the final approval to your team.
throxy is an outbound partner built for B2B companies selling into complex, hard-to-crack industries such as manufacturing, logistics, construction, education and healthcare — markets where generic outreach usually fails. Rather than handing you another dashboard, throxy builds prospect lists using custom, proprietary technology and then puts human sales development representatives on the phone and in the inbox to book qualified sales meetings on your behalf. The arrangement is simple on the buyer's side: you do not hire, ramp or manage anyone; you only choose which of the qualified meetings you want to take. throxy describes itself as Y Combinator's first AI-native sales agency and positions the service as a true outbound growth partner rather than just another sales platform, combining proprietary technology, data intelligence and human expertise. The stated purpose is to create a steady, predictable flow of high-value conversations with decision-makers in industries that are hard to reach but lucrative. The website is direct about the problem it addresses. Most tools, it says, overwhelm: they require tinkering, testing and fixing issues, and they lean on stale data or firmographic filters from generic data providers. Most agencies disappoint: they promise results but deliver poor leads, while SDRs are slow to ramp and need handholding. The industries throxy targets are described as complex, relationship-driven and full of noise — manufacturing is called one of the toughest markets to crack. Most outbound, the site argues, floods your calendar with noise, so the buyers actually worth your time get buried among unqualified conversations. throxy's answer is to combine its own outbound technology with a fully managed human team, so companies selling into traditional industries get real conversations instead of spam, and so internal sales teams can focus on what they do best: closing deals. The first pillar is custom lead targeting. Rather than renting access to a generic database, throxy builds tailored prospect databases from scratch based on your exact ideal customer profile. The site contrasts this with tools that rely on stale data or broad firmographic filters, and it emphasizes custom databases, niche-specific targeting and proprietary infrastructure that reaches buyers others cannot find. Lead research draws on scraped sources including LinkedIn, the prospect's website and Glassdoor, and it hunts for specific triggers — a recent fleet expansion, a new partnership — that make outreach timely. This matters in traditional industries where buyers are not searching for new vendors and where a well-chosen trigger is often the difference between a reply and silence. The second pillar is cold calling, powered by Maestro, the dialer throxy built itself to put SDRs on live conversations instead of dial tones. The site reports that the same team books twice the meetings on Maestro, with 121% more meetings booked per week since the dialer launched, 71% more meetings when calling is added, an 11% booking rate on calls lasting over two minutes, and zero people the customer needs to hire or train. A newer capability routes calls to an SDR who speaks the lead's language: a plant manager in Lyon hears French, a buyer in Munich hears German. The published interface shows an SDR note being written during a live call — qualified on production line downtime, interested in a Q3 pilot, asking about case studies in DACH, ready to book — illustrating how qualification happens inside the conversation rather than afterwards. The third pillar is qualification and approval. Every lead is qualified before it ever reaches your calendar against criteria the site lists as ICP (right company size), decision-maker confirmed, budget authority and timing confirmed, with leads failing a criterion marked to skip. Even after qualification, meetings go through a meeting approval step where you accept or skip each one, and throxy states plainly that it never books without your approval. A sample weekly calendar shows only the accepted names — a VP of Operations, a CEO, a CTO — reinforcing the promise that only qualified buyers make it through, with no noise and no wasted calls. The fourth pillar is messaging. throxy pairs email and cold calling end to end, using context-aware personalization drawn from scraped LinkedIn profiles and websites. The example on the site pairs a trigger observation ("Saw your recent Fleet expansion") with a website observation ("Congrats on your DHL partnership") before asking whether fleet expansion is relevant right now. Messaging-market fit is tested through A/B tests, such as Email version 1 versus a combined email and call sequence, and email deliverability is handled as a managed service, including warming email infrastructure during campaign buildout. The company lists its solution areas as lead finding and qualification, cold calling, messaging, deliverability and closed-loop optimisation, all delivered as a done-for-you service. How the whole thing runs is spelled out as a timeline. On days 1–2, throxy completes onboarding and strategy: ICP definition, qualification criteria and messaging frameworks are signed off, the team scrapes websites, LinkedIn and Glassdoor while searching for triggers, and briefs SDRs on value propositions and objections. On days 3–5 comes campaign buildout: the lead list is built and enriched, the SDR team is briefed and email infrastructure is warmed. From day 5 onward, calls and emails run in parallel, replies are managed and qualified leads are passed to you. From weeks 3–4 onwards, qualified meetings land on your calendar alongside weekly updates, A/B testing and continuous optimisation. The headline is that you are live within a week and see meetings within the month. The intended outcomes follow directly from that model. There are no dashboards to manage, no systems to learn and no resources to hire; the prospecting burden — finding targets, crafting personalised outreach, managing replies and booking meetings — is taken off your plate so your team can focus exclusively on closing. Because the system keeps testing and optimising, throxy says it learns and improves for your specific business the longer you work together. The result it promises is outbound sales that is predictable, profitable and painless, with a steady flow of high-value conversations in markets where outbound is hard, ignored or broken. Concrete scenarios appear throughout the site. A manufacturing software company describes throxy as more than a tool and a true outbound partner, starting real conversations rather than sending spam so the sales team can concentrate on closing. An education solutions provider credits personalised outbound with putting the right message in front of every educator at the perfect moment, unlocking qualified opportunities and freeing time for customers. A third customer reports 12 meetings in 20 days in December — described as the toughest month for outbound — and 137 meetings booked by July 2026 with an 80% show rate. The site also illustrates trigger-driven work with a mid-market logistics ICP: Director of Operations persona, fleet expansion trigger, and outreach referencing a DHL partnership. throxy is aimed at B2B companies selling into traditional, complex or niche industries — manufacturing, logistics, construction, education and healthcare are all named — including teams that have been burned by generic data providers or agencies delivering poor leads. Both email and cold calling are fully managed, and all SDRs are humans. On commercial terms, throxy states that you pay for meetings you accept that actually happen, which shifts the cost toward delivered pipeline rather than effort. The site does not publish tiers or list prices; instead it routes prospects to a strategy call booking form, and its FAQ addresses setup requirements, cold calling, using your own CRM or pipeline tools, niche industries, time to first meetings and how the service differs from a traditional lead gen agency. The takeaway is that throxy sells outcomes rather than software: proprietary list-building technology plus a human SDR team running email and multilingual cold calling, with qualification and approval gates so only meetings worth your time reach your calendar. For companies in hard-to-crack industries, the value proposition is pipeline delivered without hiring, ramping or managing anyone — and paying only for meetings you accept that actually happen.
LinkedInEmbed is a no-code LinkedIn widget builder that turns public LinkedIn profiles and company pages into embeddable widgets for any website. You can display your latest LinkedIn posts, a profile card, a company page card, your company's open job listings, your LinkedIn recommendations, your licenses and certifications, or your projects — each styled with your own colors, fonts and layout. It is built for professionals with personal websites and portfolios, companies with business and careers pages, marketing agencies managing several brands, consultants and coaches, and job seekers who want to stand out to recruiters. LinkedIn's own embed options are limited: you can embed a single public post and you get a basic profile badge that is small and hard to style. There is no built-in way to embed a live feed of your latest posts, a company page card, your certifications, your projects, your recommendations or your company's job openings. That means most of the credibility you have built on LinkedIn never appears on the website where your visitors, candidates and clients actually are. LinkedInEmbed was built to fill that gap — turning LinkedIn into website-ready social proof that stays updated automatically instead of a static screenshot or a manually re-pasted snippet. The LinkedIn Feed Widget shows your latest LinkedIn posts, with images, videos, documents and engagement, as either a clean grid or a single-column feed. It works for both personal profiles and company pages, and new posts appear automatically without touching the code. On top of the live feed, you can hand-pick up to four posts to feature; picked posts stay in sync with LinkedIn when you edit them, and this featured-post option is available on paid plans. The LinkedIn Profile Widget replaces LinkedIn's small, hard-to-style profile badge with a card showing your photo, headline, current company, skills and past experience, plus one click through to your full profile. The LinkedIn Company Page Widget turns your company page into a polished card with your logo, follower count, about section, key details and specialties, and includes a Follow on LinkedIn button so you can grow your audience directly from your own website. The LinkedIn Recommendations Widget turns written recommendations into testimonial cards on your site, with each person's photo, headline and relationship to you — useful because recommendations are written by real colleagues and clients under their own names. The LinkedIn Certifications Widget shows your licenses and certifications as a clean grid with the issuing organization, dates and a link to verify each credential. The LinkedIn Projects Widget reuses projects you already listed on LinkedIn as portfolio cards with descriptions, dates and skills. The LinkedIn Jobs Widget lists your company's newest LinkedIn job openings with location, workplace type and posting date, with every Apply button opening the role on LinkedIn. Getting started takes three steps and requires no API keys, no plugins and no LinkedIn developer account. First you paste a public LinkedIn profile or company page URL. Then you pick a widget type and customize it — colors, fonts, layouts and section toggles — with a live preview before you publish. Finally you copy a short embed snippet, a single div and one script tag, into your site. It works on WordPress, Elementor, Wix, Webflow, Squarespace, Shopify, Framer, Weebly, plain HTML sites, and React & Next.js projects. Widgets refresh automatically while they are being viewed, and every design change you save goes live instantly without re-pasting code. The widgets are built to behave like native site components rather than rigid embed boxes. They adapt to the space they are given — full-width sections, sidebars and phones — with grids that reduce their columns automatically and long text that wraps cleanly. A tiny script and a sandboxed iframe mean no CSS conflicts and no slowdown: images are served from a cache, the iframe does not block the page, and the widget sizes itself to its content so there is no layout jank or scrollbars. Views and click analytics show which widgets get seen and how many visitors click through to LinkedIn. LinkedInEmbed also notes that embedded widgets mainly help SEO indirectly, by keeping visitors on the page longer and building trust, while post text inside the iframe is generally attributed to LinkedInEmbed's embed page. Documented use cases include personal websites and portfolios that display a LinkedIn profile, posts, certifications and projects; company websites that show the company page and latest company posts to build trust, keep pages fresh and grow LinkedIn followers; careers and employer branding pages that show culture, momentum and real team updates to candidates; marketing agencies that create feed and company page widgets for every client from one account with brand-matched designs and click analytics to report results; consultants and coaches who show expertise through a profile, certifications, thought-leadership posts and projects; and job seekers and resume websites that embed a profile, experience, certifications and projects to stand out to recruiters. Pricing starts with a free plan that is free forever and requires no credit card: one LinkedIn profile or company page, one widget, data refreshes every 72 hours, every widget type, full customization with live preview, and a "Powered by LinkedInEmbed" link. Pro is $11.04 per month billed yearly and covers two LinkedIn profiles or company pages, three widgets, 24-hour refreshes, views and click analytics, and no LinkedInEmbed branding. Essentials is $25.49 per month billed yearly for agencies and teams managing several brands, with five profiles or company pages, five widgets, 30-minute refreshes, analytics and no branding. Yearly billing saves 15%, and plans can be cancelled anytime. The core value is simple: LinkedInEmbed puts the LinkedIn content you already maintain onto the website your audience already visits — automatically updated, brand-matched, responsive and measurable — without writing code or touching an API.