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Eintercon – A platform to make real global connections in 48 hours

Hacker News

Eintercon – A platform to make real global connections in 48 hours

I’ve been working on something I personally felt was missing from the internet: a way to build genuine global connections without endless swiping, ghosting, or chasing algorithms. That’s how Eintercon was born. Eintercon is a social platform built around the idea of time-bound connections. When you connect with someone, you have 48 hours to engage—whether it’s a chat, sharing experiences, or finding common ground. After that, the connection expires unless you both decide to continue. Why? Because I’ve seen too often how social platforms turn into infinite scrolls, dead inboxes, or connections that don’t go anywhere. By adding urgency and focus, Eintercon encourages people to actually interact instead of collecting names on a list. A few things about it: The focus is global friendships, not just local networking. The 48-hour connection window creates momentum and reduces ghosting. Simplicity: no endless feeds, just people and conversations. We’re live on Play Store and App Store . Website: https://eintercon.com . I’d love feedback from this community: Do you think time-limited connections help or hurt relationship building? What are the most frustrating parts of existing “friendship” or social apps for you? Any thoughts on how to encourage more genuine engagement rather than surface-level interactions? This is still early, but I’d be grateful for your thoughts, ideas, and critiques. Thanks for checking it out!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% 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.
AppSumoStrong fit for a featured deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, inbox · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, apps, way · Missing: mobile apps, ios, entrepreneurs
45%45% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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