OVR, a framework for streaming HTML with AsyncGenerator JSX

Hacker News

If you are looking for a nice way to stream HTML with JSX, ovr v4 has just been released. ovr optimizes Time-To-First-Byte by evaluating components in parallel and streaming HTML as it becomes available. It sends partial content immediately rather than waiting for all async components to resolve, enabling browsers to start parsing and loading assets sooner. This architecture provides true streaming server-side rendering with progressive HTML delivery - no hydration bundles, no buffering, just HTML sent in order as ready. New in version 4: ovr now includes helpers to simplify route management. You can define Get and Post routes in separate modules with built-in Anchor, Button, and Form components that automatically keep your links and forms synchronized with route patterns.

Visit product View on Hacker NewsJun 23, 2025

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

65%65% 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.

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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

39%39% 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 · Strong signals: soon · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% 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

14%14% 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.

Correct prediction on native model

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