Hot100.ai
Hot100.ai is a free weekly ranked chart of AI projects, scored by an AI judge called Flambo on innovation and utility.
Hot100.ai earns a weekly tab because the ranked list is short, every card names the coding tools and infra under it, and the movement arrows tell you what is actually gaining traction. It is a discovery feed, not a research tool — the chart is the product. If you build with Cursor, Claude Code or Lovable and want a shot at visibility, submitting costs nothing and the peak-rank line is a decent portfolio artefact. If you need pricing, docs, or feature depth on the tools listed, go to the vendors themselves; the cards do not carry that.
Verified 2d ago · liveness 65/100 · cite: rightaichoice.com/tools/hot100-ai
- Developers building with Cursor, Claude Code, Lovable or Replit who want their project seen
- Founders scanning weekly which AI apps and stacks are gaining traction
- AI enthusiasts who want a short, scored list rather than a firehose launch feed
- Makers collecting a rank badge or peak-position line for a portfolio or launch post
- Buyers comparing AI tools on pricing, docs, or feature depth — the cards do not carry that
- Researchers needing search, category filters, or an archive of past charts
- People looking for a discussion forum or community around each project
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Hot100.ai if you need to compare tools on price, docs or feature depth, or you want to browse historical charts — the site is a current-week ranked list, not a research surface.
A rank is earned per week rather than owned — entries show weeks-charted counts like 54w and 9w, so a project that stops being rescored drops off the visible list.
The chart itself is free to read and free to submit to, so there is no tier decision to make here. The comparison is against other discovery surfaces rather than paid tools: Product Hunt gives you a broader firehose and a much larger audience, while a GitHub Trending page gives you an unpriced, unjudged code-first list. Hot100.ai sits between them — narrower than Product Hunt, more curated than GitHub Trending, and free either way.
In short
Hot100.ai — Hot100.ai is a free weekly ranked chart of AI projects, scored by an AI judge called Flambo on innovation and utility. Best for Developers building with Cursor, Claude Code, Lovable or Replit who want their project seen, Founders scanning weekly which AI apps and stacks are gaining traction, AI enthusiasts who want a short, scored list rather than a firehose launch feed. Free to use.
What people actually say about Hot100.ai — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
29 mentions across 2 sources (YouTube, Product Hunt) · researched Aug 1, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Weekly fresh list of AI projects built with popular tools.
- +AI-judged scoring adds an objective, consistent angle to rankings.
- +Open submission lets indie creators gain visibility easily.
- +Focus on Cursor, Bolt, Replit, and similar tools is timely.
- +Simple, clean web design—no clutter, easy to browse.
- −No search, filtering, or archival—hard to find past projects.
- −Lack of transparency in how the AI judge scores submissions.
- −No API or community features like profiles or comments.
- −Rankings may be skewed by popularity, not pure innovation.
- −Limited detail on project descriptions; not deep enough for research.
- • No hidden costs—it's completely free.
Viability Score
How well maintained and how widely used is Hot100.ai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Weekly ranked chart of AI projects, refreshed every Monday
- AI judge (Flambo) scores entries on innovation and utility
- Open project submission flow for creators
- Stack labels on every card showing coding tools used
- Infrastructure labels on cards (Next.js, Vercel, Supabase, Firebase, Cloudflare, Fly.io)
- Underlying model names shown where the maker lists them (OpenAI GPT-4, GPT-5, Anthropic Claude, Mistral Large)
- Peak rank and weeks-charted history per entry
- Week-over-week ranking movement arrows, including 'New Entry' markers
- Upvote and comment counts per project card
- Maker-written project pitches on each listing
- LAUNCHPAD section for new and upcoming projects
- DISCOVERY and PROJECTS browsing sections
- Q2 market report on AI project trends
- Agent-readable listings (read by AI agents, not just humans)
About Hot100.ai
Hot100.ai is a weekly ranked chart of AI-powered projects, refreshed every Monday. Each entry is scored by an AI judge called Flambo on innovation and utility and ranked against a few dozen peers rather than thousands of launches. Every card names the stack the project was built with — the chart currently shows Cursor, Claude Code, Lovable, Replit Agent, Bolt, v0, Windsurf, Codex, Aider and infrastructure like Next.js, Vercel, Supabase, Firebase, Cloudflare and Fly.io — alongside a peak rank, weeks charted, and a week-over-week movement arrow. You also get upvote and comment counts and a short maker-written pitch, so you get a sense of traction before you click through. Entries name the models underneath where the maker lists them: OpenAI GPT-4 and GPT-5, Anthropic Claude, and Mistral Large all appear on current cards. The list is practical rather than novelty-driven — recent entries include AI code review (diffray), codebase documentation sync (Moxie Docs), documentation and architecture tooling (DevScribe), legal summarization (ClearTerms), YouTube knowledge search (Nootube), and engine diagnostics (TuneWorks). Beyond the chart, the site has LAUNCHPAD, DISCOVERY, PROJECTS, ABOUT and SUBMIT sections, and a SUBMIT flow open to anyone. The homepage carries the line "Built for builders. Read by agents. Indexed for the future." It also promotes a Q2 market report, suggesting the ranking data gets packaged into trend analysis. Hot100.ai is a narrower, more opinionated list than Product Hunt's firehose or a GitHub Trending clone, and the filtering job is done by the scoring model plus community votes. That makes it good for a weekly skim and less useful as an archive or a research surface.
Behind the Verdict
What Hot100.ai gets right is the format. A few dozen entries, rescored weekly by a judge model, with the stack printed on the face of every card. That last detail is the real value: most launch feeds tell you what a product does and hide what it was built with, whereas here you can read the chart as a rough signal of which coding tools are actually producing finished apps. Current cards show Claude Code and Cursor dominating the build stack, with Lovable, Replit Agent, Windsurf, Aider and Codex appearing alongside Next.js, Vercel, Supabase, Cloudflare and Fly.io on the back end, and OpenAI GPT-4/GPT-5, Anthropic Claude and Mistral Large named as underlying models. The week-over-week arrow and the peak-rank/weeks-charted line give you a sense of whether a project has legs or spiked once — CodeTrain at peak #10 with 9 weeks charted reads very differently from a 54-week fixture like AI ATS Checker at #1. Where it falls down is depth and retrieval. You are browsing a fixed list, and the pinned sub-limitations — no sign of filtering, search, or an archive of past charts — still look accurate from this scrape: the homepage renders the current leaderboard and the section nav, nothing that resembles a query interface or a history of past weeks. The audience you reach as a submitter is the platform's own traffic, which is the trade you make for a free submission and a rank badge. And the scoring is a single judge model on innovation and utility — useful as a consistent filter, not as an authority. Use it for a ten-minute Monday skim, for stack inspiration, and as a low-effort listing if you ship with these tools. Do not use it as an archive, a comparison engine, or the place you check a tool's price.
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Real-world workflow fit
Concrete scenarios for the personas Hot100.ai actually fits — and what changes day-one when you adopt it.
You finish a side project on Sunday and open the SUBMIT flow, writing a short pitch and tagging the stack you built with — Cursor, Claude Code, Vercel, Supabase — the same way current entries like Bragdoc.ai and DevScribe do.
Outcome: Your card appears on the Monday refresh with a Flambo score, and over the following weeks you watch the weeks-charted counter and the movement arrow instead of guessing at traction.
You open the chart Monday morning and read the top twenty cards, noting which build tools repeat across entries and which problem areas are crowded — AI code review (diffray), codebase documentation (Moxie Docs), legal summarization (ClearTerms), engine diagnostics (TuneWorks).
Outcome: You leave with a shortlist of gaps and a read on which stacks are producing shipped apps, in under fifteen minutes.
You screenshot your entry showing peak rank and weeks charted — the same fields every card carries — and drop the image into your README and launch announcement.
Outcome: You get an independent, dated chart placement to cite, rather than a self-reported metrics claim.
Use Cases
- Skim a short, scored list of new AI projects every Monday instead of a continuous launch feed.
- Check which coding tools — Cursor, Claude Code, Lovable, Replit Agent — are showing up on finished projects.
- Submit your own AI app for a weekly rank and a peak-position line you can cite on a portfolio or launch post.
- Scan practical entries like code review, doc sync, legal summarization, or engine diagnostics for adjacent-product ideas.
- Read the Q2 market report for packaged trend analysis derived from the ranking data.
- Watch week-over-week movement arrows to spot which projects are gaining versus holding flat.
Models Under the Hood
as of 2026-09-08
Limitations
- The platform is a weekly ranked list, and from the homepage render there is no visible filtering, search, or archive of past charts — you get the current leaderboard and the section nav.
- Evaluation rests on a single judge model scoring innovation and utility, so a high rank reflects that model's read plus community votes, not a benchmark.
- Visibility for submitters depends on Hot100.ai's own traffic.
- Entries are short: a pitch, a stack line, a score, and engagement counts, with no deeper project pages beyond that.
as of 2026-09-27
Verification history
We have re-verified Hot100.ai 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Hot100.ai's pricing actually pencils out — and where peers do it cheaper.
The chart itself is free to read and free to submit to, so there is no tier decision to make here. The comparison is against other discovery surfaces rather than paid tools: Product Hunt gives you a broader firehose and a much larger audience, while a GitHub Trending page gives you an unpriced, unjudged code-first list. Hot100.ai sits between them — narrower than Product Hunt, more curated than GitHub Trending, and free either way.
Setup time & first value
How long it actually takes to get something useful out of Hot100.ai — broken out by persona, not the marketing-page minute.
Reading the chart: zero setup, it renders on load. Submitting: you fill in a pitch, a link and your stack in the SUBMIT flow, which takes a few minutes; you then wait for the next Monday refresh for scoring and placement. There is no installation or account configuration to work through before you get value as a reader.
Switching to or from Hot100.ai
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Product Hunt launches: take the pitch and stack line you already wrote for your PH listing, trim it to a short card blurb, and submit it through Hot100.ai's SUBMIT flow.
- →From a personal launch blog post: reuse the summary paragraph as your Hot100.ai pitch and name the coding tools and infra you shipped with so the card renders a full stack line.
- →From GitHub Trending watching: keep the repo link and swap the firehose read for a once-a-week scored list, submitting the repo's app rather than the raw repo.
- ↗To Product Hunt: reuse your Hot100.ai pitch and stack line for a launch listing when you want a wider audience and a comment thread.
- ↗To a vendor pricing page or docs site: when you need plan details, quotas or API documentation for a tool you spotted on the chart, go to that tool's own site — the card does not carry it.
- ↗To your own bookmarks or notes app: if you want an archive of past charts, capture the weekly leaderboard yourself, since there is no visible history view to browse.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Hot100.ai”, and we withheld 6: 6 could not be judged, because “Hot100.ai” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Hot100.ai.
Official links
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