InsideJobs.tech

InsideJobs.tech

TrustMRR

Insidejobs.tech is a job platform with the 50%-80% of tech roles from the "hidden job market" that never hit Linkedin or Indeed. Now accessible for any tech professional who wants to stop competing wi

Insidejobs.tech is a job platform with the 50%-80% of tech roles from the "hidden job market" that never hit Linkedin or Indeed. Now accessible for any tech professional who wants to stop competing with 1000s of other applicants on the same job, and skip months of ghosting, rejections and frustration.

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Actual performance

15customers
$504MRR/mo
Did not reach leaderboard

Traction signals

MRR growth 30d-28.4%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, 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, host · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%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, crypto
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
7%7% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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