Perfect Projects Finding Perfect People

Hacker News

Hello! I just wanted to drop in to let you know about a new platform I’m developing that I think could benefit you. I was finding that the mediums I was searching to find freelance work (Twitter, freelance job sites, etc) weren’t really providing me with projects that matched my interests or skill set AND it is a lot of work to find projects through these mediums. My vision is to create a freelance job market that will make it easy for freelancers and people looking for some freelance work to find the perfect partnership by adding a human element to the process (that isn’t you combing through the countless, imperfect results other sources have given you). I have been working on a proprietary algorithm and building a team of people passionate about easing the pain of finding the perfect match and am gathering (who I think are) the right people (both freelancers and companies who hire them) to make this marketplace great. It would be great if you could check us out at https://feather.li and feel free to jump on our mailing list so we can ensure that you’re up to date on when you can start using Feather. That’s it! All suggestions and feedback welcome :)

Visit product View on Hacker NewsFeb 16, 2016

Share card

Actual performance

5points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

82%82% 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

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

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on Product Hunt, 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.

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

26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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.

Correct prediction on native model

Similar products

_theInitialCommit: An exploration of the people behind the projects65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

_theInitialCommit: An exploration of the people behind the projects

Hacker News7

Voter

Find your perfect candidate, in any election

BetaList

Solidpair – Find the perfect headphone45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Solidpair – Find the perfect headphone

Hacker News4

Registry Perfect44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Registry Perfect

Hacker News1

Roomerly - Find the perfect roommate.45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Roomerly - Find the perfect roommate.

Hacker News2

Perfect Postcards - $2 to the US, $3 to everywhere else45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Perfect Postcards - $2 to the US, $3 to everywhere else

Hacker News1

MQTTRoute34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MQTTRoute is the perfect middleware.

Indie Hackerscommitment-full-time

Mr.Dobelina Burger Buns68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Delicious potato rolls for perfect burgers.

Indie Hackerscommitment-full-time

Overalls61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Your Perfect Pair of Overalls

Indie Hackers1$98,000/moclothing

HomeShare33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the perfect housemate

Product Hunt+3

Browse all products Analyze your launch