Searchable Who is Hiring?

Hacker News

My friend Angus (angusiguess) & I became annoyed trying to parse through the wonderful 'Who is Hiring?' threads looking for internships this summer, so we made a searchable version. It's just the first roll out, we have some other stuff planned. It's important to note that this was all done programatically, so there is no possibility for 100% accuracy with most fields. We would love to hear your feedback! If you have any more personal issues (ie, want your post removed), contact info is available in our profiles. URL: http://supzu.cc Github: https://github.com/ianbishop/whoishiring

Visit product View on Hacker NewsFeb 6, 2012

Share card

Actual performance

12points

9comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

53%53% predicted probability of success on Product Hunt, 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

49%49% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

16%16% 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

Similar products

HN Who Is Hiring Thread - Sorted, Filtered and Searchable70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Who Is Hiring Thread - Sorted, Filtered and Searchable

Hacker News5

I made "Who's Hiring?" searchable using GPT and Metabase68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made "Who's Hiring?" searchable using GPT and Metabase

Hacker News5

Clark Hash, 32x smaller searchable sketches for embeddings68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Clark Hash, 32x smaller searchable sketches for embeddings

Hacker News1

ConGrep – Searchable Congress52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ConGrep – Searchable Congress

Hacker News2

HN Hired – Serverless and searchable “who's hiring”66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN Hired – Serverless and searchable “who's hiring”

Hacker News1

Who is hiring++56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Who is hiring++

Hacker News6

The Surety – Crowdsource your hiring56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Surety – Crowdsource your hiring

Hacker News4

What Is Hiring?56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What Is Hiring?

Hacker News20

"Who is hiring" mapped56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

"Who is hiring" mapped

Hacker News288

Where is “Who is hiring?” hiring?56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Where is “Who is hiring?” hiring?

Hacker News493

Browse all products Analyze your launch