CheckThenList
Catch marketplace listing risks before you publish
What it does
CheckThenList is an AI-powered pre-publish risk checker for TikTok Shop, Amazon, Etsy, and Walmart. It analyzes listing content against platform-specific policies sourced from official marketplace rules, highlights potential risks, explains why they matter, and suggests safer rewrites. It also supports batch checks and helps sellers understand violation notices and recommended next steps. Policy sources are continuously reviewed and updated as marketplace rules change.
Does the same job
all alternatives →
Marketplace Risk Detector — Safespot 8d ago · market-risk-detector-pink.vercel.app · ▲2See the shift before the shock.
- IBI built an app that helps JavaScript developers optimize their websites2022 · buhalbu.com · ▲15
Hi there, The app basically offers a handy user interface on top of Google's PageSpeed Insights API. It allows you to analyze URLs in bulk and save the reports for later references. Also, you can regenerate the saved reports for fresh results. I called this functionality "Automatic Checklists." The app offers "Manual Checklists", too. Those are exhaustive checklists with items in the form of "tasks". The idea is for those tasks to model real-life JIRA tickets, which will be very useful for interns and junior developers. As a start, there are two manual checklists, "Front-End Checklist" and…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com