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Rent Engineers – Freelance professional engineers directory

Hacker News

Rent Engineers – Freelance professional engineers directory

RentEngineers is a freelance professional engineers directory. It helps engineers to monetize their free time and businesses to find the best engineers in the world to solve their problems. Its a simple app, no bells & whistles. If the app finds enough traction then i will rent a designer to improve the UI. Pros: Desktop view is good, not SPA & lite Con: mobile view is not good at the momment Suggestions/feedback/advices/feature requests are welcome Thanks for your time.

Visit product View on Hacker NewsFeb 26, 2023

Actual performance

30points

9comments

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

64%64% 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: io · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% 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, personal

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

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

22%22% 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

14%14% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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