Te
Testbump – Automate SemVer by running old tests on new code
Hacker NewsTestbump – Automate SemVer by running old tests on new code
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos62%62% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% 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 released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto32%32% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
AI
AI agents to automate running and maintaining regression tests25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI agents to automate running and maintaining regression tests
Hacker News1Ol
Old Flame, New Flame45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Old Flame, New Flame
Hacker News1Sh
Show HN your embarrassing (old) code54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN your embarrassing (old) code
Hacker News9Ho
Holst, Digitally Retouched Old Paintings38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Holst, Digitally Retouched Old Paintings
Hacker News1Ol
Old Pluto46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Old Pluto
Hacker News7Ge
Generations - How old are Millenials now?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generations - How old are Millenials now?
Hacker News113
13yr Old Author: Joshua Hart38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
13yr Old Author: Joshua Hart
Hacker News2Old Town Illustrated40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Illustrating historic properties in Old Town Alexandria
Indie Hackerscommitment-side-projectOl
Old SGI demos running in the browser60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Old SGI demos running in the browser
Hacker News1My
My new running app, Vima41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My new running app, Vima
Hacker News25