Sifted³ – A Professional Social Network

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I feel like an idiot. This may be half Show HN, half seeking free therapy. I've had an account on here since 2012, I've been a professional software engineer since 2005. I try and read and learn and yet I keep putting myself in the same holes. I've built out what is essentially a LinkedIn alternative, I've got ideas about how to improve it beyond that, but it's the simplest way of explaining it for now. The key differentiator is that it limits the number of applications a candidate can make (3 in 7 days). Twitter for applicant count seems to convey what I'm trying to do to other engineers. I'm also trying to allow for candidates to receive feedback and generally improve the process. It's all to try and address what I see is an issue with roles receiving thousands of applicants within hours and how that and the tools to deal with it are failing both candidates and those recruiting. Obviously, OpenAI have just announced their offering is in the pipeline, which perhaps confirms what I see as an issue, even if we have different approaches for fixing it. I have form for this; writing software, thinking it has some value, but not being able to figure out how to get even the slightest bit of traction. Watch this thread die as yet more proof! :) This time, I've outdone myself. Knowing that it's particularly an issue in Dubai, with a relatively small, condensed market, but a sought after location, I jumped on a plane to Dubai thinking I would track down some recruiters and plead with them to post some roles, which I would then try and promote, and perhaps I'd get feedback I could use to refine and iterate. I've spent the week in a hotel room with flu, and not managed to get to speak to a single recruiter. Every post I've tried to local facebook groups gets rejected and I can feel myself walking the same path towards abandoning it, even though I don't think that's going to bring answers. Is it a terrible idea? I have zero sign ups so I don't think I can know if it's terrible execution (it's certainly early, there's bound to be bugs). Am I just terrible at marketing? How do people do this?!

Visit product View on Hacker NewsSep 19, 2025

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

91%91% 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: openai, single, open · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% 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 · Strong signals: answers, way · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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.

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.

Incorrect prediction on native model

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