Profile.studio – Create your private Toptal/Upwork like talent network

Hacker News

Hello folks, We are launching Profile.studio — It's a simple tool that helps talent-centric organizations gather all their talents in one simple and searchable place. We figured out that many companies spend a lot in fees for freelancers on platforms like Toptal, Upwork, Fiverr,... or candidates with recruiting firms gathering talents. We believe that actually a lot of people come across great folks but loose track of them. Big players of the talent market don't really own talent, they simply have the infrastructure to store the talent data. We tried to recreate this infrastructure in order to make it available to anybody without hassle or code. We are in the early days, this is just a V1. We'd love to get your sincere feedback!

Visit product View on Hacker NewsJun 12, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% 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

30%30% 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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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