Bu
Burnrate $1M a month, backwards through time
Hacker NewsBurnrate $1M a month, backwards through time
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto42%42% 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, revenue29%29% 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, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
We
WebGL 1M particles73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebGL 1M particles
Hacker News8Dr
Dragon – $1M Kitty65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dragon – $1M Kitty
Hacker News1Ma
Manuzoid – Database of More Than 1M Manuals73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Manuzoid – Database of More Than 1M Manuals
Hacker News234I
I made 1M (!) syntax highlighting themes66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made 1M (!) syntax highlighting themes
Hacker News9Si
Simulation of 1M Flocking Birds52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simulation of 1M Flocking Birds
Hacker News2Ma
Market your product to 1m+ journalists58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Market your product to 1m+ journalists
Hacker News17~1
~1m/Pixel EPSG 3857 Austrian LandCover Model57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
~1m/Pixel EPSG 3857 Austrian LandCover Model
Hacker News3My
My Project, One month later57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Project, One month later
Hacker News37I
I made a calendar where every month is also a crossword55%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 calendar where every month is also a crossword
Hacker News25Th
The result of a 3 month development sprint49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The result of a 3 month development sprint
Hacker News1