Yesterday's Top Launches: 5 Tools from September 13, 2026
Five products shipped on September 13, 2026, spanning a B2B data layer for AI agents, ad and GTM tools, a rebuilt Mac launcher, a dictation app, and a spec review platform.
Five products shipped on September 13, 2026, and the spread says something about where new developer tools are heading. Two of them are aimed squarely at GTM and ad teams, yet both are built on infrastructure problems engineers would recognize: data freshness, cost predictability, and the sheer volume of output that AI now produces. The rest range from a rebuilt Mac launcher to a dictation app to a spec review platform. Here’s what landed.
Anysite.io
The pitch is a B2B data layer that lives inside whatever AI agent you already run. You describe the list you want in plain language, and Anysite returns typed rows: people, companies, posts, prices. Coverage is claimed at 650+ sources and 3,500+ endpoints across social, e-commerce, news, finance, maps and code, pulled live at query time rather than from a warehouse snapshot.
The pricing structure is the most interesting part. MCP plans start at $30/month flat, and the API charges for data returned rather than requests attempted, which kills the annoyance of paying for enrichment calls that came back empty. Integration is a Claude Code command, a Cursor config block, or a REST endpoint, all hitting the same catalog.
Worth flagging: the site is upfront that niche sites with heavy bot protection get handled case by case. That’s an admission that coverage isn’t uniform, and anyone evaluating it should test their actual targets rather than trust the source count. For outbound and ABM teams tired of five-figure enrichment invoices, though, the model is compelling. Read more
Loqua
Voice dictation for Mac and Windows that positions itself against the keyboard. The numbers it leans on: roughly 45 words per minute typing versus 220 by speech, which the company converts into a claim of three hours saved per day.
Cleanup is the actual product. Speak roughly, and Loqua strips filler words, cuts repetition, infers structure from how you talk, and translates into nearly 100 languages. There’s also a screen capture feature for asking questions about a chart or table without leaving your app, voice editing for rewriting highlighted text, hands-free commands, and read-aloud for text-to-speech. One global shortcut works across terminal, Slack, Notion, email, or any text field.
The testimonials that carry weight aren’t the time-saving ones. A user with RSI in both wrists says it made work possible again, and non-native English speakers report that the cleanup makes their writing sound native. Dictation tools usually die because you spend as long editing as you would have spent typing. Whether Loqua clears that bar depends on how well its context handling works in practice, and it’s a paid product with a 14-day trial, so you’ll find out quickly. Read more
Raycast 2.0
This is a rebuild rather than a point release. Raycast 2.0 replaces V1 on installation, runs on a new foundation, and requires macOS Tahoe plus Apple Silicon. That requirement is the honest headline: if you’re on Sequoia or earlier, you upgrade the OS or you don’t get the launcher.
What’s new is substantial. AI Chat brings skills, agents and memory into one place, and you can connect your own ChatGPT or Claude account. Quick AI sits in the same Tab as search, so there’s no new surface to learn. Dictation is built in. File Search moved to root and got faster. Automations handle recurring tasks, Projects group ongoing work, and hotkeys plus aliases can now be assigned directly from search results.
Migration matters here. Raycast recommends the automatic path over importing a .rayconfig file, because the manual route skips Clipboard History, Wrapped and the emoji picker, and it disables your shortcuts in V1 to prevent conflicts. The team also says to expect frequent updates and occasional rough edges, which is refreshingly direct for a major version. Read more
Wisry
An agentic ad platform for ecommerce brands. Paste your store URL and Wisry builds brand memory covering products, voice, visual identity and audience, then reads the Meta ad library and TikTok top ads to find creative that’s already converting. Winners get ranked by days live, variant count and impressions. The studio showed one ad at 64 days live with 17 variants and 2.4M impressions, drawn from 1,323 reviewed.
From there it clones the structure into your brand. Layout, headline structure and typography come from the source, while palette and product get swapped. Video and static both work this way, templates arrive sized and safe-area-checked for each placement, and every generated cut opens in a real editor for retiming, caption restyling or shot swaps. The ads agent then launches to Meta and Google and optimizes continuously.
Of the five launches, Wisry has the clearest community signal: 308 votes and 49 comments on Product Hunt. None of yesterday’s releases carried a ranking badge yet, so that’s the closest thing to a crowd verdict. Treat the advertised +200% performance lift as vendor math, but the underlying premise of starting from proven creative instead of a blank canvas is sound. Pricing runs $49.50 for two weeks up to $198 for eight. Read more
EasySpecs.ai
A spec engineering assistant built around Spec-Driven Development. EasySpecs documents undocumented codebases, claiming up to 98% LOC coverage assignment, then helps teams clarify intent and ground it against the real system before agents write code. Each Spec is paired with a Trust Spec holding validators, evals and checks, so you define how you’ll trust a change before it exists.
The framing is the sharpest thing about it: spec review becomes the new merge request review. That’s a direct answer to the CTOs drowning in AI-generated pull requests, and it’s the problem worth solving right now. Integrations cover Jira and Linear on the tracking side, plus VS Code, Cursor, Antigravity and any VS Code-compatible IDE. It’s free to use.
The gap is disclosure. No pricing detail beyond the free tier, no tech stack, and “up to 98%” is doing a lot of work without a methodology attached. Worth a look if your review queue has stopped being manageable. Read more