Hu
Hubo – two agents that implement and review code until they agree
Hacker NewsHubo – two agents that implement and review code until they agree
Share cardActual performance
11points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, code · Missing: mac, macos, cursor94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto44%44% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue23%23% 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, podcasting10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Pa
Panorama – Review Code, Faster54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Panorama – Review Code, Faster
Hacker News2
GitWarren95%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review code with your coding agents before committing
Product Hunt+91Open SourceRP
RPi PiZeroW first impressions and review34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RPi PiZeroW first impressions and review
Hacker News2My
My decade in review (2011-2021)49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My decade in review (2011-2021)
Hacker News1Re
Review my webapp please37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review my webapp please
Hacker News1Re
Review: Autodesk 123 Sculpt+34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Review: Autodesk 123 Sculpt+
Hacker News3Wh
What if you could review code without reading code?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What if you could review code without reading code?
Hacker News4
Pierre78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Joyful code review
Product Hunt+155Developer ToolsAp
App in Review49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
App in Review
Hacker News17Proofix.ai22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The only review platform where every review requires a real
Indie Hackers1advertising