Blue-Collar Job App + Recruitment Services

Acquire.com

This Singapore-based job platform and recruitment service connects non-executive workers with nearby employers via a simple, multi-language app and smart job kiosks. It bridges access gaps for people without smartphones while giving employers a steady pipeline of reliable local talent. Over the last decade, it has blended software with hands-on staffing to deliver placements and recurring B2B contracts—a defensible niche with predictable, scalable revenue. Key Highlights ✅ $2.0M TTM revenue...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$4,000,000

Launch Intel predictions

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

70%70% 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 NewsMay not resonate with HN audience · Strong signals: pipe, 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: ios · Missing: mobile apps, personal, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, ttm, recurring · Missing: arr, mrr, profit

34%34% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

21%21% 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

21%21% 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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