Applygigs

TrustMRR

ApplyGigs is an AI platform that helps job seekers land more interviews. 75% of resumes get filtered by ATS before humans see them. ApplyGigs fixes this: 1) Visual Resume Builder - create ATS-friendly resumes, 2) 60-Second AI Tailoring - upload your resume, paste a job description, AI optimizes it with keywords to beat ATS, 3) AI Cover Letter Generator - personalized letters in seconds. Tailor resumes faster, apply to more jobs, get more interviews.

Visit product View on TrustMRRAug 16, 2025Recruiting & HR Other B2C

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Actual performance

2customers

$48MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating4

MRR growth 30d+38.8%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

68%68% 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.

TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

50%50% 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, friendly, builder · Missing: plus, intuitive, reviews

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos

30%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, revenue

18%18% 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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