New Folo is out: your settings follow you to every device again, long reads get text-to-speech that holds up, and every screen now speaks Chinese, Japanese and French.
Folo update time π« desktop π―π.ππ.π and mobile π―π.π.ππ are here!
Highlights:
π Settings sync across devices again
π§ Steadier text-to-speech on long reads
π Fully translated into δΈζ, οΏ½οΏ½ζ¬θͺ & FranΓ§ais
β‘ Desktop on Electron 44, plus fixes
π Full details below
Folo update time π« desktop π―π.ππ.π and mobile π―π.π.ππ are here!
Highlights:
π Incremental sync, fewer requests
β‘ Instant read & star marks, even offline
π± Reading settings, dark mode, immersive reading
π Desktop follows your system proxy
π Full details below
Thanks to @Cloudflareβs new 64 MiB uncompressed size limit on both free and paid plans, RSSHub now runs on Workers with the full route catalog! π
No more βpopular routes onlyβ builds. Browser-powered routes are supported via Playwright, too.
β¨ Folo now supports 5 new powerful AI models
β’ DeepSeek V4 Flash & Pro
β’ GLM 5.3 & 5.3 Flash
β’ Qwen 3.8 27B
DeepSeek V4 Flash is now the default for AI chat, translation, and summaries.
π§‘ Folo now lets you catch up on unread entries oldest first, keeps your place when switching timelines on mobile, and brings .deb packages to Linux.
Folo update time π« desktop π―π.ππ.π and mobile π―π.π.π are here!
Highlights:
β³ Read unread entries oldest first
π§ Linux .deb packages
π Custom app URL schemes with confirmation
π± Keep your place when switching timelines
π Full details below
The best updates arenβt always the loudest.
This release makes Folo safer, clearer, and more polished across desktop and mobileβfrom integrations and error messages to dark mode and visual details. β¨
TGIFolo π« desktop π―π.ππ.π and mobile π―π.π.π are rolling out!
Highlights:
β‘οΈ Electron 43 and Expo SDK 57 upgrades
π More reliable sign-in, sessions, and 2FA
π Smoother push notification registration
π Full details below
TGIFolo π« desktop π―π.ππ.π and mobile π―π.π.π are rolling out!
Highlights:
β‘οΈ Electron 43 and Expo SDK 57 upgrades
π More reliable sign-in, sessions, and 2FA
π Smoother push notification registration
π Full details below
Folo Discover today is basically a map of what builders are following:
Anthropic Research, OpenAI News, GitHub Trending, Hacker News, Karpathy, Stripe Engineering, Schneier on Security, NASA APODβ¦
AI, open source, engineering, security, tech news, and curiosity, all in one feed.
Donβt wait for the algorithm to decide what matters. Follow the sources that do.
Discover your next high-signal feeds on Folo.
Need to optimize my World Cup information setup.
What are the best underground or tier-1 sources for data/news that desperately need an π§RSSHub feed?
Drop your favorites, trying to build a master list β½οΈ
Wake up.
Open π Folo.
Check whatβs happening in the world before checking whatβs happening on X.
Reuters.
BBC.
NYT.
Foreign Affairs.
All in one place.π
2024:
βRSS is dead.β
2026:
The internet is scattered across apps, channels, repos, forums, newsletters, and group chats.
Keeping up has become a full-time job.
But weβre still here π
π¦ RSSHub:
turn scattered information into open, accessible feeds.
π Folo:
turn those feeds into something worth following.
TGIFolo π« desktop π―π.π.π and mobile π―π.π.π are rolling out!
Highlights:
π§ Stronger AI summaries with Kimi
π More reliable scroll mark-read, with batching and retries
π Cleaner Obsidian handling and sharing
π Full detail below
One thing weβve realized while actually building products:
Users rarely look at your model and say οΏ½οΏ½οΏ½the reasoning here is sub-optimal.β Instead, they get pissed off when the product feels like a black box.
Itβs always the same annoying stuff: hitting quota limits out of nowhere, sudden latency spikes, or the system silently dying without any error logs.
As AI products mature, you quickly realize that users value reliability way more than a slightly higher benchmark score.
Intelligence is cool and all, but in production, βboring and predictableβ is the ultimate feature.π¦
Weβve heard your feedback about hitting limits too quickly on @GeminiApp. We're rolling out several fixes to make your quota stretch further and feel more predictableβ¦ π§΅
Building a flagship product for mass adoption is usually less glamorous than one big release.
Itβs the small improvements:
better speed,
smoother UX,
more reliable everyday use.
Folo keeps getting better, version by version. π¦π
TGIFolo π« desktop π―π.π.π and mobile π―π.π.π are rolling out!
Highlights:
πΌοΈ Send images to Eagle from context menus
π§ Smoother end-of-list reading and mark-read behavior
π More reliable desktop auth cookies, tray refreshes, and AI summaries
π Full detail below
In 2010, Laszlo Hanyecz just wanted some pizza.
In 2026, AI devs just want High-Fidelity inputs that donβt catastrophically break their RAG workflow.
Whoβs crying more? π₯²
If your upstream data pipeline has zero telemetry, youβre still paying 10,000 BTC in technical debt. Time to upgrade to π¦RSS3βs machine-readable information.
Workers are cooking the data. You enjoy the pizza. πβ‘οΈ
Scaling AI infra is no longer just a model capability problem, but increasingly a data integrity problem.
Today, many AI systems still rely on fragmented schemas, opaque APIs, and inconsistent upstream sources.
A small change in formatting or structure can quietly break downstream reasoning.
π¦RSS3 focuses on making open information more structured and machine-readable.
Through open Workers and standardized processing pipelines, raw signals across protocols and platforms can be transformed into consistent, reusable metadata that applications and AI systems can actually work with.
Reliable AI systems start with better inputs, rather than bigger models.
Today marks the next stage of π¦RSS3.
We are tightening focus, simplifying structure, and moving closer to the products people actually use.
β RSSHub as the core open information network
β Folo for mass adoption
β $RSS3 integrated across both
πVSL β Ethereum
π§ DSL β RSSHub
A more direct path forward.
Read more ππ½
Weβre positioning π¦RSS3 as the core infrastructure for open informationβitβs much more than just a tool for indexing.
Letβs be honest: raw data isnβt enough. It needs to be structured so that AI systems and apps can actually do something with it. Thatβs where the Data Sublayer (DSL) comes in.
Our Nodes run Workers that do the heavy liftingβtranslating fragmented protocol data into a unified, machine-ready format. You shouldnβt have to build a new integration for every data source you find. With RSS3, you get one interface for everything.
In the end, data volume is just a vanity metric; what really counts is how much of that data is actually actionable.