Sales AI Tools

Naoma AI is an AI video sales agent that runs personalized product demos for B2B SaaS companies. It gives every prospect a live demo instantly, walking them through your product, answering their questions, qualifying them, and routing them to your CRM, calendar, or checkout. Naoma runs 24/7, starts demos in about 10 seconds, and speaks 33 languages, so buyers can explore your product in the language they think in, without scheduling a call or waiting for a rep to reply. The problem Naoma solves is the gap between a visitor's intent and a sales rep's availability. A typical book-a-demo button converts only 1–2% of visitors, and the rest leave. Prospects arrive across every time zone and in many languages, and a form means they must wait for a reply before they can see anything at all. In enterprise software, a single opportunity often involves multiple decision-makers across marketing, operations, IT, procurement, and management, each with different priorities, KPIs, and questions. Feature-rich platforms can also lose value in a self-serve trial, because people never discover what makes them powerful on their own. Naoma closes that gap by delivering a real, interactive demo at the moment of peak buying interest rather than after a scheduling delay. Naoma runs the entire product demo in four automated steps. First, a prospect on your website or in your app requests a product demonstration: there is no scheduling and no waiting, and the demo starts immediately. Second, the AI sales agent initiates a live, personalized demo tailored to the prospect's needs, industry, and role; it handles discovery, shows relevant features, and answers questions. Third, every qualified lead is sent straight to your CRM, and Naoma can book a meeting with your sales team or send high-intent buyers to checkout, with no manual handoff. Fourth, Naoma surfaces insights your buyers never tell a rep: competitors, objections, questions, and feature requests, giving sales, marketing, and product teams intelligence rather than just revenue. Hyper-personalization is central to how Naoma behaves. Every demo adapts to each customer's needs and context, and Naoma learns your product from your sales scripts, demo recordings, knowledge base, sales presentations, and demo environment, so it is positioned to handle even complex technical questions better than your reps. Demonstrations can be delivered through your website, in-app, or in outbound emails, so prospects get demos exactly when they need them. The agent remembers returning visitors and picks up where they left off, and every session is written back to your CRM, keeping the record of each conversation in one place. Language is handled natively. Naoma speaks 33 languages because buyers prefer to explore in their native language, and removing that friction helps every prospect understand your product and its value in the language they think in. Named agents illustrate the range: Alexandra Chen, VP of Sales, for English; Carlos Rodriguez, Head of Customer Success, for Spanish; and Sophie Martin, Product Marketing Director, for French. Customers report qualifying prospects in more than 10 languages they could never staff for. Avatars let you give demos a face that fits your brand. You can choose the signature Naoma agent, a branded mascot, or a static realistic avatar created from a real photo. Naoma adapts to your brand and creates memorable demo experiences while keeping the visual identity consistent with how you present your company. Naoma reports measurable quality from real end-user feedback across live AI demos. 89% of end users mention how human the experience feels, fewer than 2% of sessions hit any technical issue, and 77% of end users praise how it handles interruptions. The product is rated 4.9 on G2 by verified B2B SaaS reviewers, and it is GDPR compliant, protecting both your data and your customers' information with enterprise-grade security. The commercial outcome teams highlight is conversion from traffic they already have. Typical visitor-to-demo conversion is 1–2%; with Naoma, visitor-to-AI-demo conversion reaches 6–20%, so teams capture more qualified leads without increasing spend. Same traffic and same budget produce more demos and more qualified leads. Naoma's own product page illustrates the moments it covers: a VP of Sales at TechScale requests a demo at 11:42 PM and completes it at 11:42 PM, a Head of Marketing at CloudNexus requests one at 3:15 AM, a founder at DataViz at 8:23 PM, and a Director of Operations at SyncWare at 5:07 AM. The same flow is shown across growth stages — emerging, growth stage, scale-up, and established — with qualified customers produced in different regions. The point is straightforward: buying interest does not keep office hours, and Naoma is available whenever a prospect is ready. Naoma is used by B2B SaaS teams across many product categories. AiSDR, an AI sales development platform, uses Naoma to run personalized demos for website visitors, aiming to attract more qualified leads and book more product demos without adding sales headcount. UXPressia, a collaborative customer journey mapping platform, uses Naoma to give visitors a real interactive demo of its journey maps, personas, and AI persona builder, qualifying them around the clock. Hoteza, a web-based guest engagement platform for hotels, placed Naoma right after its book-a-demo form and behind a "Get AI demo now" button; since April, 57 hotels explored the product this way, and one regional partner signed after going through the AI demo. Mellow, which helps companies hire, manage, and pay freelance contractors across 150+ countries, uses Naoma to run personalized demos for its visitors. App Radar, an app store optimization platform, uses Naoma to qualify visitors and surface larger accounts worth routing into a sales-assisted funnel. Verified G2 reviews describe how teams use it day to day. A CMO at Hoteza noted that enterprise hospitality software involves long, complex buying processes with decision-makers across marketing, operations, IT, procurement, and management; Naoma lets each stakeholder explore the product independently, ask questions in context, and revisit specific features between meetings, reducing sales workload while keeping prospects engaged. A founder at UXPressia said its deep, feature-rich platform did not always come across in a self-serve trial, and that Naoma greets visitors, runs a real interactive demo of journey maps, personas, and the AI persona builder, and qualifies them around the clock. Another reviewer described Naoma as an additional source of leads that provides qualification information and effectively does discovery, freeing the sales team to focus on higher-value conversations. Naoma is built for B2B SaaS teams that want to convert more of their existing website traffic without adding sales headcount. The product is now self-serve: teams can upload their product and knowledge base and test the agent themselves, and a separate app is available to build your agent, along with an ROI calculator. Naoma has run 50,000+ demos for B2B SaaS teams, holds Product Hunt daily and monthly top-post awards plus a Tekpon Top Demo Automation Software Q1 2026 recognition, and was named in a Global Startup Award by The Ventures. The company raised $440k in pre-seed funding to scale AI video sales demos. The takeaway is that Naoma turns the moment a prospect is interested into a completed, qualified demo. Instead of a form that converts 1–2% of visitors, teams get an AI sales agent that demos the live product instantly, in 33 languages, 24/7, remembers returning visitors, writes every session back to CRM, and reports the objections and feature requests buyers never tell a rep. For B2B SaaS teams that want more demos from the same traffic and budget, Naoma provides an automated pipeline from first click to booked, qualified meeting.

Coldline AI, also styled ColdLine.ai, is an AI-powered outreach tool that turns cold prospects into hot leads with personalized pitches. As described in its Product Hunt listing, users simply add their prospect's details and Coldline AI creates a relevant, human-sounding pitch in seconds. Its stated purpose is to help users save time, personalize outreach, and get more replies without writing every message from scratch. It is presented as a fit for founders, sales teams, marketers, recruiters, and agencies, and its official website summarizes the brand's positioning with the headline "Innovate with AI Today." Cold outreach is a numbers game, but the numbers only work when messages feel like they were written for the individual receiving them. The tension Coldline AI is built around is the trade-off between personalization and time: crafting a tailored pitch for every prospect means writing every message from scratch, which scales poorly for anyone reaching out to more than a handful of people. At the same time, outreach that is not personalized tends not to earn replies, and recipients can generally tell when a message is a template with a name dropped in. Coldline AI addresses this tension by automating the pitch-writing step while keeping the output relevant and human-sounding, so personalization no longer has to be sacrificed in the name of speed. The result the product aims for is outreach that is both fast to produce and specific enough to deserve an answer. The core capability described for Coldline AI is AI-powered personalized pitch generation. Instead of starting from a blank page, the user provides details about their prospect, and the product uses that information to produce a pitch that is relevant to that specific person. This is the mechanism behind the promise of turning cold prospects into hot leads: the message is built around the prospect's details rather than being a generic template that could be sent to anyone. The pitch is also described as human-sounding, so the personalization is not just factual but tonal. For anyone who sends outreach regularly, this means the personal touch that normally requires research and careful drafting becomes part of an automated step rather than a manual chore. Speed is an explicit part of the product's value proposition: Coldline AI creates the pitch in seconds. The immediate benefit is that a task which would otherwise take minutes of drafting — and much longer when multiplied across an entire prospect list — is compressed into a moment. Seconds matter in outreach because the real constraint is usually not the quality of a single message but the number of messages a person or team is able to send. When each pitch is produced in seconds, users can work through more of their prospect list without giving up the personalization that makes outreach worth sending. The speed also lowers the friction of starting: there is no blank page to fill, only details to add. The content emphasizes that the generated pitch is relevant and human-sounding. Relevance ties the message to the prospect's details, while the human-sounding quality addresses the risk that automatically written outreach reads as stiff or obviously machine-generated — a tone recipients tend to ignore or delete. The stated outcome is more replies, which means the pitch is written to be something a prospect will actually respond to rather than something that merely fills a message field. Combined with the promise of not writing from scratch, this positions Coldline AI as a way to produce outreach that feels personal without hand-crafting every sentence. For users, that distinction matters because a pitch that sounds human is more likely to be read to the end and answered. The overall workflow described by Coldline AI is deliberately simple. The user adds their prospect's details, and the product generates the pitch from that input. There is no described requirement to build templates in advance or to write a draft for the tool to edit — the pitch is created for the user from the details they provide. This input-then-generate approach is what makes the tool usable by people who are not professional copywriters, including founders, recruiters, and agency teams for whom outreach is one part of a much larger job. The methodology is essentially to let AI handle the composition while the human focuses on choosing who to contact, sending the message, and following up on the replies that come back. The benefits stated for Coldline AI are saving time, personalizing outreach, and getting more replies. These three are connected: time saved comes from not writing every message from scratch, personalization comes from generating a pitch around each prospect's details, and more replies are the expected result of outreach that is both relevant and human-sounding. For an individual, the benefit is fewer hours spent drafting and less fatigue from staring at empty message boxes. For a team, the benefit compounds, because every member can produce personalized outreach at a pace that previously would have required generic templates. The product frames these outcomes as the reason to change how outreach is written. Coldline AI is presented as suitable for a range of outreach scenarios. Founders can use it to reach prospective customers, partners, or investors without blocking out hours for writing, since each pitch is generated from the details they add for that person. Sales teams can use it to personalize cold outreach across a pipeline, producing a relevant pitch for each prospect they enter instead of choosing between volume and relevance. Marketers and agencies can use it for outbound campaigns and client prospecting, where personalization at the individual level is what separates a campaign from spam. Recruiters can use it to reach candidates with messages tailored to the person, rather than sending the same note to everyone. In each case the described workflow is the same: add the prospect's details, generate a relevant pitch, and send it. The explicit target audiences for Coldline AI are founders, sales teams, marketers, recruiters, and agencies — essentially anyone whose work involves reaching out to people they do not yet know. These are people who send outreach regularly and need it to feel personal in order to get replies, but who do not want to write every message from scratch. The Product Hunt listing also categorizes the product under Sales, Marketing, and Artificial Intelligence, which reflects that dual identity of an AI tool applied to a go-to-market function. Coldline AI is accessed through its official website at coldlineai.xyz, making it a web-based product, and it is listed on Product Hunt as "Coldlineai" with the tagline "Turn cold prospects into hot leads with AI-powered pitches." No pricing details are stated in the available content. In short, Coldline AI takes the most time-consuming part of cold outreach — writing a personalized pitch for every prospect — and turns it into a seconds-long automated step. By taking prospect details as input and producing a relevant, human-sounding pitch, it aims to let founders, sales teams, marketers, recruiters, and agencies save time, personalize their outreach, and get more replies without writing every message from scratch. That combination of personalization and speed is the core value proposition the product states.

Youkti is an outbound system of thinking and action that turns account knowledge and relationship data into revenue. It is built to help sales teams win more new logos, move more pipeline, and reactivate dormant accounts using intelligent outbound, live signals, and a complete memory of every account. Youkti combines conversational campaign building through its AI GTM agent ARYA, a daily execution cockpit for reps, automatic account journey tracking, and deep account intelligence with deal context and recommended next actions. The product is aimed at sales leaders, revenue operations teams, account executives, and outbound representatives, and it gives each of those roles a command surface tuned to their job — intelligence for leaders and RevOps, actions for AEs and sales leaders, and outbound workflows for reps and GTM teams. The problem Youkti addresses is that momentum inside a pipeline is easy to lose. Deals slip without anyone noticing in time, dormant accounts quietly fire buying signals nobody sees, and reps walk into strategic meetings without knowing which stakeholder joined or which questions are still unresolved. Youkti keeps a memory of every account, conversation, and deal, then tells the sales team the exact next move: which deal is slipping, which dormant account just fired a signal, and what to prepare for tomorrow's meeting. Instead of relying on static workflows, stale battlecards, and manual CRM updates, the system continuously overlays live signals and relationship data onto every account so the next best action is always visible. The first major capability is the conversational GTM builder. Rather than dragging and dropping blocks or writing if-else logic, users tell ARYA what they want in plain English, and it builds the entire flow through conversation — signal triggers, persona matching, outreach rules, and cadence. The configuration updates live as you talk, and the flow editor shows a live config review alongside run history and settings. Example flows shown in the product combine triggers such as Funding Raised or Hiring Surge with target personas such as VP Sales, CRO, Head of Sales, VP Marketing, or CMO. If both a funding raise and a hiring surge are detected, the flow can apply an aggressive tone on a cadence of every three to four days across five emails; if only one condition fires, it can apply a consultative tone weekly across three emails. Because the configuration is generated through conversation, there is no drag-and-drop canvas and no if-else branching to maintain. The second capability group covers daily execution. Every morning, reps open a single screen — the Cockpit — where accounts are prioritized, signals are overlaid, personas are matched, and sequence hooks are already written, with one click to push. The cockpit shows counts such as total accounts, active signals, today's plays, high-priority plays, live sequences, pending replies, and meetings for the day. Accounts are queued with the detected signal and the reason it matters — for example, a hot account showing a hiring surge signal detected yesterday — together with matched personas such as a CTO or Senior Director of Product, the linked sequence such as a five-step, 18-day Sales Leaders Outreach play, and a send action. This is described as what a true system of action looks like: signal-driven prioritization, one-click sequence push, and the thinking layer made visible to the rep. The third capability group is tracking and account intelligence. After a sequence is pushed, every account enters an Account Journey, where Youkti tracks status, engagement, replies, meetings, and surfaces the next step automatically — no manual updates, no digging, and no missed follow-ups. The journey view summarizes total accounts, meetings today, unactioned items, and total actions, and it segments accounts into states like Growing, Stable, Needs Attention, and At Risk, showing a summary of outreach, status, last contact, and AI-generated next steps such as high buying intent detected or an active email thread that should be pushed toward a meeting. Clicking into any account opens a deep-dive board with emails sent, replies, meetings, next actions with reasoning, the latest meeting brief with talking points, stakeholder maps, a full account timeline, signals, insights, sales actions, and talk tracks — plus automatic meeting prep. The system recommends; the user decides. A further capability is the intelligence layer, described as 100+ parameters and every signal in one snapshot. Youkti Execute scores every account on readiness, ICP fit, budget, timeline, and sales cycle, then generates deal actions, strategic approach, entry points, key messages, and email templates — a six-step account-based campaign in one click. The scorecard example shows readiness of 9/10 and ICP fit of 8/10 with explicit reasoning such as Highly Qualified Enterprise Target rather than a black-box number, alongside budget context, timeline for pilot approval, sales cycle length, ROI potential, effort level, best timing, the account's competitive edge, and recommended next steps such as launching an outbound sequence, connecting on LinkedIn, proposing a tech-stack consolidation audit, or pitching a pilot. Strategic deal enablement material includes ROI potential, effort level, success metrics, value demo scripts, and a phased execution timeline. The system also monitors signals across the entire TAM — funding, hiring, leadership changes, lawsuits, competitive moves, and tech stack swaps. When something fires, the user does not just get an alert: they get the analysis, the reasoning, and the timing window, including confidence scoring with reasoning, a Why It Matters explanation for every signal, and timing windows such as Next 2-4 weeks that indicate when to act rather than only that something happened. Those signals feed sequence generation: Youkti writes complete multi-step sequences with A/B variants, each tied to specific signals and account context, including campaign strategy, messaging angles, subject lines, and email bodies. A generated sequence example shows six steps, twelve emails, and a sixteen-day duration, with one click to push the selected variant into a sequencer such as Lemlist, Outreach, or any SEP. The platform modules that make this up are built to work together. Prospects & Lists lets teams build, distribute, and track high-quality prospect lists at scale, assign ICP-fit companies to reps, and monitor execution centrally. Account Intelligence delivers 100+ parameters of contextual company intelligence on any account in under 60 seconds with a single click. Outreach Automation generates messaging angles, follow-ups, and outreach guidance tied to real signals and account insights. Competitive Intelligence tracks competitors, comparisons, and real-time changes that impact active deals. Sales Enablement centralizes decks, case studies, and battlecards so reps always use the latest narrative. CRM Enrichment automatically enriches and updates accounts, contacts, and activity so CRM data stays accurate without manual effort. ARYA is the AI GTM agent that builds the flow, writes the outreach, and tracks what's next. Account Journey builds personalized, multi-touch engagement journeys that adapt to signal changes and rep activity, and Execution Analytics tracks outbound execution across every rep, account, and play. The benefits described are concrete: winning more new logos, moving more pipeline, and reactivating dormant accounts; seeing which deals are slipping and why before they stall out of the pipeline; understanding the top competitors in your deals and the top objections from your clients; preparing strategic conversations with the messages that landed you deals; and giving every rep exactly what to do each day. The vendor also states it helps avoid spending $100K+ on Salesforce Data Cloud 360 and implementations, because Youkti has your data covered. Customer stories cited on the site include NeoSOFT generating $50K+ pipeline growth, Samvidh Technologies increasing revenue 20% quarter over quarter, and Deeploop increasing selling time by 3×. Use cases shown in the product illustrate how this plays out. Protecting an at-risk deal: an account flagged At-Risk, awaiting board approval for 16 days, with the suggested action of scheduling a meeting with the VP of Operations who was last contacted 16 days ago. Prioritizing a high-intent account: a SaaS Series B company marked High Priority with a new CRO hired, nine sales leadership roles open, and Series B funding raised, carrying an ICP score of 96/100, with LinkedIn and email actions for the named contact. Reactivating a dormant account: a healthcare enterprise where the last contact was 94 days ago and a new signal was detected about a digital transformation initiative, with a drafted email to the named contact. Opening an expansion opportunity: an enterprise manufacturer with a renewal in 60 days where the Operations business unit is 78% engaged and Supply Chain is 62% engaged, prompting a call with the named contact. And preparing for a strategic meeting: a retail enterprise meeting tomorrow where the CIO has joined the meeting, with tasks to review a new stakeholder map, resolve unresolved security questions, prepare recommended talking points, confirm the CIO attendee, and schedule an internal team meeting. Youkti is built for AEs, RevOps, sales leaders, and outbound reps, and its integrations cover the surrounding stack. Email and calendar integrations include Gmail, Google Calendar, Outlook, Exchange, and Office 365. Data integrations include Snowflake, AWS, OneDrive, SharePoint, and Google Drive. CRM integrations include Salesforce, HubSpot, Zoho CRM, Pipedrive, and Freshsales. Prospecting data providers include LinkedIn Sales Navigator, Apollo.io, Lusha, Cognism, Clearbit, People Data Labs, ZoomInfo, Full Enrich, Kipplo, Prospeo, BetterContact, Clay, and Bitscale. Sales engagement integrations include Outreach, Salesloft, Apollo.io, and HubSpot Sales, and signal integrations include Google Analytics, rB2B, SEMrush, Ahrefs, and Hotjar. Youkti states it is constantly adding new integrations. Contact data, buying signals, and intent are described as free, with no card and no meter. In summary, Youkti's core value proposition is that it is the outbound system that thinks: it remembers every account, conversation, and deal, continuously watches for signals across the market, scores and reasons about that intelligence, and then converts it into specific actions — from building a campaign through conversation to pushing a personalized sequence and tracking what happens next.

Anysite.io is a B2B data layer that lives inside the AI agent you already use. Rather than writing queries or maintaining scrapers, you describe the list you need in plain language — companies by geography, industry and size, the people inside them, their current job titles and emails — and Anysite.io returns it. The product is aimed at GTM and marketing teams that want fresh, ready-to-use web data for outbound, ABM, research and monitoring, and it works over MCP or a REST API inside agents including Claude, Codex, Cursor, OpenCode and others. The product is positioned against three walls that GTM and marketing teams hit every week. First, basic AI research is not enough: you ask an LLM to conduct research, but it is scratching the surface with old SEO links, bold assumptions and a lack of real-time market data. Second, lead enrichment is extremely expensive: using GTM tools for enrichment such as social media account summaries or news about a new company raise can easily land $3–5k invoices every month. Third, category intelligence means hours of scrolling: what is working in your category — competitor moves, brand mentions, posts that pop — hides behind manual feed-scrolling, and you still get no clear read. The first building block is live, typed web data. Ask your agent for a list and Anysite returns typed fields — people, companies, posts, prices — rather than a page of text you still have to parse, with one schema per source. Coverage spans 650+ sources and 3,500+ endpoints across social, e-commerce, news, finance, maps and code, business data included. Freshness is explicit rather than implied: data is pulled live from the source at the moment you ask, not served from a warehouse snapshot, so if a title changed this morning, that is the title you get. The site is also honest about the edges — niche sites with heavy bot protection are handled case by case. The second building block is plain-language briefing. You describe the task the way you would brief a teammate — an ICP, a competitor, a topic — and there is no query language, no endpoint IDs, no field mapping, no pagination to handle and no maintenance when a source changes. In the example shown on the site, the brief is "Find heads of growth at seed-stage fintechs in Europe who posted about outbound this month." The agent matches endpoints — people search, profiles and email finder — fills parameters such as geography, industry, founding year, role and verified-email-only, pages through results and deduplicates by company domain, then returns 50 prospects as rows containing name, role, company and email. The agent decides which endpoints to call; nothing about the underlying plumbing is left to the user. The third building block is a flat, data-based cost model combined with resilience and monitoring. MCP plans start at $30/month flat with fair-use throughput and a 7-day free trial, and on the API you pay for data returned rather than for attempts. On the monitoring side, your agent watches the category: competitors, mentions and top posts by topic arrive on a schedule, with the engagement numbers behind them, so you get the pattern rather than a feed. On reliability, when a site changes or blocks access, that is Anysite's problem rather than yours — endpoints heal themselves when a platform shifts its defenses, and requests route across multiple sources so no single provider can vanish and take your workflow down. Getting your web data runs in three steps and is described as needing only a few clicks, with no pipeline to build. In the Connect step you plug Anysite into your tools: add the MCP server to Claude, Cursor or ChatGPT, or take the REST API — the same catalog either way, every source included, nothing to install and nothing to keep running. The site shows a Claude Code command (claude mcp add --transport http anysite "https://mcp.anysite.io/mcp?api_key=YOUR_KEY"), a Cursor configuration block that goes in ~/.cursor/config.json, and a REST example that POSTs to https://api.anysite.io/api/people/profile with an access-token header and returns a typed profile. In the Ask step you describe the task in plain language, briefing it the way you would brief a teammate — an ICP, a competitor, a topic. In the Get step, typed, up-to-the-moment results land in your chat, sheet or CRM, ready for the sequence or the deck. The stated benefits follow directly from that flow. Because there is no pipeline to build and no query language to learn, no engineer is required to get value from the product, and teams can plug in and launch outbound data collection the same day. Because data is pulled live at query time, results reflect what is actually on the web now rather than a stale snapshot or a search index. Because output is typed and delivered where the team already works — chat, spreadsheet or CRM — results are ready for a sequence or a deck without a parsing step. And because pricing on the API is tied to data returned rather than attempts, enrichment work does not generate surprise invoices for tries that came back empty. Anysite lists concrete tasks by role. For Outbound & Sales it is building ICP lists with live buying signals to book meetings from lists nobody else has, rather than the tired database everyone else mails. For ABM it is walking into a call knowing the account's latest move, with this week's funding, hires and product news briefed before every call. For Market & Competitor Research it is building campaigns on data rather than guesses, with offers, prices and ads tracked as they change and no tab-by-tab copying. For Brand & Social Monitoring it is tracking mentions, sentiment and conversation shifts as a single morning read on brand health. For Content & Viral Intel it is publishing what a niche actually rewards, using top posts by topic and the engagement behind them instead of hours of scrolling. For Creator & Influencer work it is choosing creators on real numbers rather than edited ones, looking at true engagement, comment sentiment and brand fit instead of a media kit built to flatter. Beyond GTM and marketing, the site points to agentic products, e-commerce intelligence, due diligence, finance research, HR and recruiting, science research and reviews, and everyday life. On the audience side, the product speaks to GTM and marketing teams, outbound and sales teams, ABM programs, market and competitor researchers, brand and social monitoring teams, content teams and creator or influencer marketers, along with the broader use cases listed above. On the integration side, it states that it works with agents including Claude, Cursor, Manus, Grok, Gemini CLI, Codex, Antigravity, OpenClaw and OpenAgent, and it is described as a verified app on Make. Pricing is split into MCP plans and usage-based API plans. MCP costs $30/month for everyday research, MCP x5 is $99/month for active daily agents, and MCP x15 is $199/month for agents that never sleep; all MCP tiers include a 7-day free trial with full plan access and all 650+ sources with one key, and work with Claude, Cursor, ChatGPT and any MCP client. API plans are credit-based: Starter gives 15K credits/month for $49/mo ($3.27 per 1K credits) with the full REST API, a CLI tool and MCP server access; Growth gives 100K credits/month for $200/mo ($2.00 per 1K), 39% cheaper per request with higher rate limits for batch; Scale gives 190K credits/month for $300/mo ($1.58 per 1K), 52% cheaper with throughput sized for production; Pro gives 425K credits/month for $549/mo ($1.29 per 1K), 61% cheaper with max rate limits; and Enterprise gives 1.2M credits/month for $1,199/mo ($1.00 per 1K) with white-glove onboarding and custom rate limits. A Custom tier offers custom credit volume and rate limits, dedicated support and SLA, volume discounts and custom sources on request. Anysite.io's core proposition is simple: the web is the largest database ever built, nobody shipped it with a query language, and Anysite provides one — in the form of a plain-language agent interface backed by live, typed data from 650+ sources. For teams that need fresh B2B and web data for outbound, ABM, research and monitoring without writing queries or maintaining scrapers, it offers the same catalog over MCP or REST, flat MCP pricing from $30/month, usage-based API pricing that charges for data returned rather than attempts, and a 7-day free trial to start.

Gsheet CRM turns the Google Sheet you already keep your customers in into a working CRM. Rather than asking you to migrate your rows into a brand-new database, it connects to a single spreadsheet and layers a leads board, follow-ups, reports, team roles, linked lists, small automations, and quotes on top of it. The product is built for businesses that run on a spreadsheet, and it is designed so that nothing has to be migrated, imported, or learned twice. Its core promise is simple: your sheet stays the database, in your Drive, and the CRM behaviour happens around it. The problem it addresses is familiar to any small team that has outgrown a plain spreadsheet but does not want the disruption of a traditional CRM. Most CRMs ask you to hand over your customer list and move your data into their system, which means import wizards, field mapping homework, a sales call, and a second place to maintain the same information. Teams then either abandon the spreadsheet they were comfortable with, or they keep it and end up with two sources of truth. Gsheet CRM is built the other way round. It keeps the rows, notes, and numbers in your own spreadsheet and adds the structure a CRM normally provides — stages, reminders, reporting, permissions, and automation — directly against that same sheet. The first feature group is the leads board. Gsheet CRM puts a board on your own sheet, letting you drag customers between stages such as New, Contacted, and Won. Every change lands straight in your spreadsheet — same rows, same columns, no copy anywhere. Nothing is duplicated or synchronised into a separate store; when you open the sheet you see exactly the same data you see on the board, because it is the data. The site illustrates this with a real estate example, showing named leads alongside their requirements, locations, and status, so a team can see at a glance who is new, who has been visited, and who has booked. Follow-ups are the second group. You can put a reminder on any customer, and overdue, today, and this week items are all shown in one place. Nobody gets forgotten because a row scrolled out of view. The reminders run inside your sheet, so they fire even with the app closed — the follow-up still surfaces when it is due rather than waiting for someone to open a separate tool. For sales work, where the cost of a missed callback is a lost deal, this keeps the pipeline moving without relying on memory or on someone scanning thousands of rows. Reporting is the third group, and it requires no formulas. Funnel, what's stuck, wins by month, and who's handling what are all computed live from your sheet every time you open them. There is nothing to build and nothing to break: no pivot tables to refresh, no dashboard that quietly goes stale because someone added a column. Because the reports read the sheet as it stands, the view a manager opens is always current. The team features add boundaries to a shared spreadsheet. You can invite your people with roles and teams, and decide whether each person sees everyone's leads, their team's leads, or only their own — while managers always see it all. That means a spreadsheet can be shared with a sales floor without every rep reading every other rep's rows, and without maintaining a separate permissions system. Linked lists are the related capability: keep properties, courses, or packages in their own tabs and link them to leads, so viewings and payments roll up onto the customer's card by themselves. Small automations round out the feature set. When a lead is created or changes stage, Gsheet CRM can set a follow-up, add a note, or hand the lead to whoever has the fewest open leads. These are rules you write in one sentence, which keeps configuration approachable for teams that do not have an operations engineer. The Product Hunt listing also notes that quotes can be produced from your own Google Doc templates, so proposals reuse documents the business already has rather than a bespoke template editor. For teams selling on WhatsApp, the product plugs straight in. Gsheet CRM also runs inside Libromi Team Inbox: your team sees each customer's card beside the conversation, and new WhatsApp leads land on this same board. The result is one sheet serving both places — the spreadsheets stays the source of truth while the chat conversation sits next to the matching row. Getting started is deliberately short. There are no import wizards, no field mapping homework, and no sales call. You sign in with Google in one tap, and the app asks to see your email only — nothing in your Drive yet. You then pick your business from a dozen ready-made setups, and Gsheet CRM creates a working sheet in your own Drive with stages, dropdowns, and an example lead already in place. From there you work the board: add leads, drag cards, set follow-ups, and open the spreadsheet any time, because it is the same data. The site summarises this as working in three minutes. If you already have a sheet full of customers, you can start from a ready-made setup and paste your rows in, with ids and formatting handled for you. The benefits centre on control and continuity. Your customer list lives in your sheet: rows, notes, and numbers stay in your spreadsheet, while the servers keep the wiring — which columns mean what, when follow-ups are due — not your customers. Gsheet CRM uses Google's narrowest Drive permission, so it can only open the single spreadsheet you connect and never the rest of your Drive. And you can leave whenever you like: disconnect the app and every row stays exactly where it always was, in a Google Sheet you own, that works without the product. Use cases follow the industries the site lists as running on a spreadsheet: real estate agencies tracking viewings and bookings, travel agencies, clinics, education providers, recruitment firms, insurance agents, car dealers, fitness studios, salons, trading and wholesale businesses, cash-on-delivery e-commerce sellers, and consultancies. In each case the workflow is the same shape — leads arrive in rows, they move through stages on the board, follow-ups keep them from being forgotten, linked tabs roll up related records, and reports show what is stuck and what has been won. On pricing, there are two plans, both billed monthly or yearly, and the board, follow-ups, reports, and automations are included in both. Startup is aimed at a small team getting its sheet under control and includes 5 team members, 5,000 leads, and 1 linked table. Growth is for teams with more people and a lot more leads and includes 25 team members, 50,000 leads, 5 linked tables, plus API access and webhooks. Both are listed at 50% off for the first 999 customers, a limited-time launch deal where the price you join at stays yours for life; a free trial is included and no card is needed to start. Overall, Gsheet CRM is best understood as CRM behaviour layered onto a spreadsheet you already own. It keeps the database where it is, adds the board, reminders, reports, permissions, linked records, automations, and WhatsApp connection a growing team needs, and leaves every row in a Google Sheet that continues to work without it.

Nugget is a LinkedIn warm outreach tool built for Founders and Solopreneurs who hate cold outreach. It mines the LinkedIn data export you already own into a set of actionable reports that show you exactly who in your network to talk to, what to say to them, and where your next opportunity is hiding. Instead of scraping profiles or buying lead lists, Nugget works from your own LinkedIn archive and turns it into a clear picture of who is warm and what to do next. The problem Nugget addresses is one the site states plainly: your LinkedIn network is full of connections who could refer you, hire you, or open a door, but LinkedIn does not show you who they are, how warm they are, or what to say. The usual outcomes are throwing spaghetti hoping something sticks, or doing nothing and wondering why the pipeline is dry. Cold outreach, meanwhile, feels too salesy to even try. Either way, as the product puts it, you are leaving money behind — and the data needed to avoid that is already sitting in your own export, unused. Nugget ships with three free reports that require no payment and no credit card. The Open Door looks at the real people just outside your network: every pending invite in your account, who is already waiting on a yes from you, and who you reached out to but never got a reply from. The Line-Up takes every connection in your network and sorts it by role — Founders, C-Suite, VPs and more — so you can actually find the person you are looking for instead of scrolling through hundreds of names. The Field Report surveys the land: who is actually in your network, how many of those connections match your ICP, and your top ten untapped connections. Together, these three reports answer the basic question of who is in your network and how much of it is relevant to who you are trying to reach. Five additional reports are unlocked with purchased credits, and the site describes each as existing to fix one specific thing that is costing you opportunities. The Warm List produces a single ranked list of who is actually worth your time right now, scored by real fit and relationship gap rather than by who messaged you last. The Hidden Nuggets Report surfaces the people who are already in your corner but whom you are not leveraging, ranked by likely value and best ask type — the advocates who are ready to refer you or vouch for you. The Inbound Report asks whether your profile is ready to convert: if a perfect prospect landed on your profile right now, would they stay or bounce? The Outbound Report looks in the other direction and shows what your LinkedIn activity broadcasts to potential clients when you are not paying attention. The seventh report, The Gold Nugget, is the one the site calls the treasure map rather than just another report: a full Business Development Action Plan containing your complete pipeline, prioritized targets, the warm relationships already in your corner, missed conversations, and outreach sequences ready to send. Where the other reports tell you who is worth your time and why, the Gold Nugget tells you what to actually do about it, bringing the Warm List, Hidden Nuggets, Inbound and Outbound findings together with the action plan. Running The Gold Nugget also produces Nugget's signature metric, the BizDev Readiness Score. It is a score out of 100 that shows exactly where you stand and what to do to raise it, and it is built from five strengths: Network (who is in your network and how ICP-aligned they are), Profile (how ready your profile is to convert a visitor into a client), Content (what your content says when you are not in the room), Relationship (the warmth and depth of your active relationships), and Advocate (how many advocates are ready to go to bat for you). Because the score is broken into these five areas, it points at the specific dimension to work on rather than giving one vague number. There is no scraping and no LinkedIn login involved. Nugget works from the data export LinkedIn already lets you download, in three steps. First, on LinkedIn, go to Me → Settings & Privacy → Data Privacy → Request a copy of your data, select Complete rather than Basic, and click Request archive. Second, two emails arrive: a Basic export within minutes and a Complete export within 24 hours that includes your messages and activity. You can drop the Basic file in right away and start with The Line-Up and The Field Report while you wait; dropping the Complete file in unlocks The Warm List, Hidden Nuggets, Inbound and Outbound. Third, drag and drop each zip file into Nugget — there is no need to unzip, because Nugget opens them automatically and merges everything in as it arrives. You can also upload individual files if you prefer. The stated benefit is that you stop guessing. Instead of choosing who to contact based on who messaged you last, you get a ranked, criteria-based answer to who is warm and why, plus a view of the relationships and advocates you already have but are not using. The Inbound and Outbound reports turn your profile and your activity into feedback you can act on, and the Gold Nugget converts all of it into prioritized targets and outreach sequences ready to send. In the product's own framing, every insight, every name and every next step is unique to you: this is your data, your people, and your pipeline. Concretely, Nugget is used when a founder has hundreds of LinkedIn connections and no idea which of them are Founders, decision-makers or just noise — The Line-Up and The Field Report answer that. It is used to clean up loose ends: pending invites and outreach that never got a reply are gathered in The Open Door so you can decide what to do with them. It is used when you are choosing who to reach out to first and want a ranked list rather than a guess based on who messaged you last. It is used before a push to check whether your profile would convert an inbound visitor and what your recent LinkedIn activity signals to prospects. Finally, it is used to turn all of that into a full business development action plan with warm paths, missed conversations and outreach sequences. Nugget starts free and moves to credit-based paid plans. The free tier costs $0 with no credit card required and includes The Open Door, The Line-Up and The Field Report. Explorer is $79 for one report credit — one full run of the four-report bundle covering Warm List, Hidden Nuggets, Inbound and Outbound, with the Gold Nugget not included. Connector is $207 for three report credits at $69 each, adding the Gold Nugget on every run. Closer is $295 for five report credits at $59 each, giving five full runs of the five-report bundle with the Gold Nugget included on every run, which the site frames as plenty of room to rerun as your network changes. The site notes that founder pricing is available to lock in before October 9. Credits expire 18 months from purchase, there is no subscription and no auto-renewal, and each report generates once per run — you are advised to save yours as a PDF, since nothing is stored after you close the tab. The product itself is aimed at Founders, Solopreneurs and Owners. Nugget was created by founder Anna Ludwinowski, who describes 33 years of business experience as a Business Strategist and says she has lived every bizdev challenge personally: the cold leads, the missed opportunities, and the warm network sitting right there, completely untouched. She describes seeing smart, capable Founders leave money behind not because they don't know how to sell, but because they don't know how to use the data they already have. Nugget is positioned as an unfair advantage on LinkedIn: no fluff, no jargon, just a clear picture of what is in your network and exactly what to do with it. The takeaway is simple and matches the tagline: your next client is already in your LinkedIn network, and Nugget's job is to show you where. By mining your own LinkedIn export into seven reports, a readiness score and a full business development action plan, it replaces cold outreach and guesswork with a ranked, personalized answer to who to contact, what to say, and where the opportunity is hiding — starting free and scaling with credits when you are ready to unlock the Gold.

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