A
A Collection of Stories About People Who Landed Their Dream Tech Job
Hacker NewsA Collection of Stories About People Who Landed Their Dream Tech Job
Share cardActual performance
6points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsMay not resonate with HN audience · Strong signals: io · 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting43%43% 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, personal40%40% predicted probability of success on TrustMRR, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto24%24% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Tech Folks56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Personal stories from people in tech
Indie Hackers1communityA
A collection of stories from people who build products51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A collection of stories from people who build products
Hacker News38HowIJoinedTech54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stories by people of color on how they joined tech
Indie Hackers1contentHackerJobs33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find your next tech job
Indie HackersMentorCruise66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mentorship for people in Tech
Indie Hackers102communityOffscreen Magazine47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Magazine About Tech People
Indie Hackers14$10,000/mob2bFi
Fictorio.us – A Collection of Short Stories I Bought38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fictorio.us – A Collection of Short Stories I Bought
Hacker News3Storypony42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curated collection of stories and poetry by talented writers
Indie Hackerscommitment-side-projectWishIT64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your stories, Your people, Your way
Indie Hackers1social-mediaVi
Video Tech Job Fairs on Videality39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Video Tech Job Fairs on Videality
Hacker News1