Actual performance
184upvotes
26comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mcp · Missing: mac, agents, macos89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto67%67% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: calls · Missing: plus, platform, intuitive56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Fr
Fructose – LLM calls as strongly typed functions79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fructose – LLM calls as strongly typed functions
Hacker News218He
Hey, I have made a demolab using JAMstack52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hey, I have made a demolab using JAMstack
Hacker News1Lo
Local LLM AIME benchmarking tool56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Local LLM AIME benchmarking tool
Hacker News1He
Hey PMs, let's give you a fighting chance!69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hey PMs, let's give you a fighting chance!
Hacker News4He
Hey, Community43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hey, Community
Hacker News4Mi
Microcodegen.py – PRD → FastAPI app, one file, no LLM calls27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Microcodegen.py – PRD → FastAPI app, one file, no LLM calls
Hacker News3I
I made a site that aggregates local police/fire/ems calls53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a site that aggregates local police/fire/ems calls
Hacker News3Co
Conduct, open-source guardrails for LLM and MCP tool calls54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Conduct, open-source guardrails for LLM and MCP tool calls
Hacker News22He
Hey Siri, how's my MailChimp doing?61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hey Siri, how's my MailChimp doing?
Hacker News2Mc
Mcp-use – Connect any LLM to any MCP50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mcp-use – Connect any LLM to any MCP
Hacker News155