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Insquad. Hire startup-ready senior remote developers

Hacker News

Insquad. Hire startup-ready senior remote developers

Hey. We are pleased to tell you about our startup. Insquad is a Startup-only focused platform to help hire vetted remote developers super-fast and at half the price of a US developer. Our team is launching Insquad for two reasons: First - we are startup founders ourselves - we know how it hurts when your best Python Data Scientist quits with a rich offer from corporate. We've been in these shoes before and want to help the startup community succeed. Second - we've found many incredible software talents that are spread all over the world. Quite often, they can't find a job that matches their level and gives them the opportunity for further growth. Fortunately, remote reality opens a lot of opportunities to unlock their potential. As of today Our product can vet candidates for seniority in 25 major technologies and frameworks and 15 domains of expertise Soft skills evaluation: startup culture fit, communication, and leadership skills assessment Hundreds of vetted developers on the platform - all motivated to start working with a US startup We are developing the product further - adding AI vetting in our process, more skills, enhanced user experience, and some nifty things only startups would appreciate. https://www.insquad.com/

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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: user, open · Missing: mac, agents, macos
64%64% 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: lua, 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% 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
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue
15%15% 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

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