FairMaze
Indie HackersAnonymous reviews of company hiring processes
I started FairMaze to fix the disorienting application processes I experienced myself as a new graduate. It's a platform for anonymous reviews of these processes, to give job seekers the transparency they need to succeed
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, reviews · Missing: plus, intuitive, host49%49% 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, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
In
Introview – find companies by their hiring processes63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Introview – find companies by their hiring processes
Hacker News16
Docufast65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn Your Processes into Company Knowledge
Product Hunt+1My
MyStartupLand-Anonymous Reviews on Accelerators, Events and Competitions40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MyStartupLand-Anonymous Reviews on Accelerators, Events and Competitions
Hacker News3To
Tokumei – Anonymous microblogging62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tokumei – Anonymous microblogging
Hacker News20Sa
SalaryFeed – Anonymous salaries62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SalaryFeed – Anonymous salaries
Hacker News8Ma
Made an anonymous textboard for Indians/pajeets(kek)62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Made an anonymous textboard for Indians/pajeets(kek)
Hacker News1Sp
Spill – Anonymous Microblogging62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Spill – Anonymous Microblogging
Hacker News3An
Anonymous IRC75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Anonymous IRC
Hacker News1Ti
Tierlist.fyi – Company Reviews designed to be compared40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tierlist.fyi – Company Reviews designed to be compared
Hacker News1"W
"Who is hiring" mapped56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
"Who is hiring" mapped
Hacker News288