The best updates arenโt always the loudest.
This release makes Folo safer, clearer, and more polished across desktop and mobileโfrom integrations and error messages to dark mode and visual details. โจ
TGIFolo ๐ซ desktop ๐ฏ๐.๐๐.๐ and mobile ๐ฏ๐.๐.๐ are rolling out!
Highlights:
โก๏ธ Electron 43 and Expo SDK 57 upgrades
๐ More reliable sign-in, sessions, and 2FA
๐ Smoother push notification registration
๐ Full details below
TGIFolo ๐ซ desktop ๐ฏ๐.๐๐.๐ and mobile ๐ฏ๐.๐.๐ are rolling out!
Highlights:
โก๏ธ Electron 43 and Expo SDK 57 upgrades
๐ More reliable sign-in, sessions, and 2FA
๐ Smoother push notification registration
๐ 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 APODโฆ
AI, open source, engineering, security, tech news, and curiosity, all in one feed.
Donโt wait for the algorithm to decide what matters. Follow the sources that do.
Discover your next high-signal feeds on Folo.
A small but very practical Folo update.
This one makes everyday reading feel smoother:
๐ fewer accidental mark-read moments
๐งฉ cleaner code blocks
๐ง better desktop reading and TTS behavior
Desktop v1.10.0 and mobile v0.5.5 are rolling out now.
TGIFolo ๐ซ desktop ๐ฏ๐.๐๐.๐ and mobile ๐ฏ๐.๐.๐ are rolling out!
Highlights:
๐ Safer mark-read during scroll resets
๐งฉ Fixed duplicated code-block lines
๐ง Smoother desktop reading and TTS edge cases
๐ Full detail below
Need to optimize my World Cup information setup.
What are the best underground or tier-1 sources for data/news that desperately need an ๐งRSSHub feed?
Drop your favorites, trying to build a master list โฝ๏ธ
Wake up.
Open ๐ Folo.
Check whatโs happening in the world before checking whatโs happening on X.
Reuters.
BBC.
NYT.
Foreign Affairs.
All in one place.๐
2024:
โRSS is dead.โ
2026:
The internet is scattered across apps, channels, repos, forums, newsletters, and group chats.
Keeping up has become a full-time job.
But weโre still here ๐
๐ฆ RSSHub:
turn scattered information into open, accessible feeds.
๐ Folo:
turn those feeds into something worth following.
TGIFolo ๐ซ desktop ๐ฏ๐.๐.๐ and mobile ๐ฏ๐.๐.๐ are rolling out!
Highlights:
๐ง Stronger AI summaries with Kimi
๐ More reliable scroll mark-read, with batching and retries
๐ Cleaner Obsidian handling and sharing
๐ Full detail below
One thing weโve realized while actually building products:
Users rarely look at your model and say โthe reasoning here is sub-optimal.โ Instead, they get pissed off when the product feels like a black box.
Itโs 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, โboring and predictableโ is the ultimate feature.๐ฆ
Weโve 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 predictableโฆ ๐งต
Building a flagship product for mass adoption is usually less glamorous than one big release.
Itโs the small improvements:
better speed,
smoother UX,
more reliable everyday use.
Folo keeps getting better, version by version. ๐ฆ๐
TGIFolo ๐ซ desktop ๐ฏ๐.๐.๐ and mobile ๐ฏ๐.๐.๐ are rolling out!
Highlights:
๐ผ๏ธ Send images to Eagle from context menus
๐งญ Smoother end-of-list reading and mark-read behavior
๐ More reliable desktop auth cookies, tray refreshes, and AI summaries
๐ Full detail below
In 2010, Laszlo Hanyecz just wanted some pizza.
In 2026, AI devs just want High-Fidelity inputs that donโt catastrophically break their RAG workflow.
Whoโs crying more? ๐ฅฒ
If your upstream data pipeline has zero telemetry, youโre still paying 10,000 BTC in technical debt. Time to upgrade to ๐ฆRSS3โs machine-readable information.
Workers are cooking the data. You enjoy the pizza. ๐โก๏ธ
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.
๐ฆRSS3 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 ๐ฆRSS3.
We are tightening focus, simplifying structure, and moving closer to the products people actually use.
โ RSSHub as the core open information network
โ Folo for mass adoption
โ $RSS3 integrated across both
๐VSL โ Ethereum
๐ง DSL โ RSSHub
A more direct path forward.
Read more ๐๐ฝ
Weโre positioning ๐ฆRSS3 as the core infrastructure for open informationโitโs much more than just a tool for indexing.
Letโs be honest: raw data isnโt enough. It needs to be structured so that AI systems and apps can actually do something with it. Thatโs where the Data Sublayer (DSL) comes in.
Our Nodes run Workers that do the heavy liftingโtranslating fragmented protocol data into a unified, machine-ready format. You shouldnโt 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.
๐ฎ ๐ฆ The RSS3 Foundation Letter โ March 2026
Half a decade later, we are still obsessed with the same problem: the accessibility and structure of open information.
Our primary focus this month was the Worker model. In the race to scale, weโve developed a way to turn fragmented data into an unified machine-readable format.
๐ค Over 404 million requests this month.
Weโve spent the last few weeks refining how signals move through the networkโreducing fragmentation and making high-quality structured data more efficiently accessible for everyone.
Updates on Folo: Weโve transitioned to Kimi K2.5 as the default engine, which means smarter outputs and lower costs for our users.
Five years has only reinforced our belief in this mission. Thanks for being part of the journey.
Full letter below ๐
๐ฆRSS3 began as a vision to solve the web's fragmentation by turning chaotic, raw data from diverse protocols into actionable signals via a unified, interoperable layer of Open Information.
By indexing raw events into a single standard, weโve replaced manual integration with scalable, interoperable data.
Today, Global Indexers provide the industrial reliability essential for AI agents. In a world where an agent's logic is only as good as its context, we are structuring the Open Webโs intelligence.
Happy 5th Birthday, ๐ฆRSS3.
Future is structured.