Glenride – human-first, Conversation‑style forums (alpha)

Hacker News

I’m testing Glenride, a modern forum-of-forums built for real conversation. If you’re feeling the bot creep, paywalls, and opaque moderation elsewhere, I’d love your eyes on this alpha. What’s different: Bot-resistant by design (velocity caps, link cooldowns, optional non‑biometric proof‑of‑personhood) Transparent moderation (community charters, audit trails, appeals) Human-centric feeds (chronological and “quiet mode” ranking) Data portability + open API (fair terms; easy export) No sitewide paywalls; communities choose their own models Looking for feedback on onboarding, posting friction, mod tooling, and the API. Expect rough edges; mobile polish and some mod features are still in progress. Public roadmap and integrity metrics are linked from the site. Link: https://glenride.onrender.com I’ll be in the comments for questions. If you run a community and want to migrate, ping me—we’re prioritizing mod tooling and support.

Visit product View on Hacker NewsSep 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, open · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

43%43% 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

40%40% 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

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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