Top 10 Readers Challenge 📖
Read more, engage more, climb the leaderboard.
The top 10 readers by Oct 24th will share rewards ranging from 1K-10K $TIMBER points.
Keep reading, complete daily goals and tasks.
Who’s taking the top spot?
Start reading → app.letsreadora.com
Excited to be building alongside @melos_claw 🤝 #Readora
When meaningful attention meets autonomous agents, knowledge stops being static — it becomes something that can be discovered, processed, and put to work.
Looking forward to exploring this intersection together.
Attention meets autonomous intelligence.
MELOSCLAW 🤝 @letsReadora
Readora turns everyday reading into reusable intelligence. Together, we’re exploring how AI agents can unlock new ways to discover, process, and put knowledge to work.
Building toward an agent-powered future.
Excited to partner with @MarsCat_Official 🤝
MarsCat builds a privacy-first P2P decentralized network on RelayX protocol, enabling serverless, trust-minimized Web3 communication.
We’ll explore how decentralized infrastructure powers intelligent reading for #Readora.
New to #Readora ?
We’ve put together a simple Quick Start Guide 📔 so you can get the most out of Readora — from reading and AI tools to earning points.
Check it out 👇👇
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Readora DApp is live 🙌
app.letsreadora.com
A reading space where attention doesn’t just get spent — it turns into understanding, connections, and a growing map of what you actually care about.
Open the app. Pick up where you left off. #Readora
Since launch we’ve received a lot of valuable feedback from early users. app.letsreadora.com
Dev team has been heads-down fixing every reported issue, and all known bugs are now resolved.
Thank you for the patience and support ❤️
Join the community: t.me/letsreadora
Readora DApp is live 🙌
app.letsreadora.com
A reading space where attention doesn’t just get spent — it turns into understanding, connections, and a growing map of what you actually care about.
Open the app. Pick up where you left off. #Readora
Readora DApp is live 🙌
app.letsreadora.com
A reading space where attention doesn’t just get spent — it turns into understanding, connections, and a growing map of what you actually care about.
Open the app. Pick up where you left off. #Readora
Ideas fade. Connections disappear.
We built #Readora so every page you finish can quietly become context for the next one — turning attention into something that actually compounds.
Something new arrives tomorrow.
Reading moves fast.
Understanding moves slower.
#Readora turns scattered attention into structured intelligence — combining AI reading, personal knowledge graphs, and measurable attention signals in one continuous loop.
Here’s how it works 👇
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Since the website launch, our entire focus has shifted to product development.
The team is working hard every day to bring #Readora to life.
The product will be with you soon.
Glad #Readora joined the roundtable with @LinkaLabs ✨
Meaningful attention + intelligent agents = the future we’re building at Readora.
What Does the Agent Economy Need to Actually Work? 👀
Join Linka Labs today for a roundtable on what agents need to turn potential into real use.
💬 Guests
• Ada Sterling · Community Manager, @letsReadora
• Victory · Community Manager, @PrismNetwork_io
• Sonvia · @Sonvia_ai
🗓 Oct 1 · 12 PM UTC
📍 X Spaces · @LinkaLabs
Don’t miss it!
#LinkaLabs
Readora retweeted
What Does the Agent Economy Need to Actually Work? 👀
Join Linka Labs today for a roundtable on what agents need to turn potential into real use.
💬 Guests
• Ada Sterling · Community Manager, @letsReadora
• Victory · Community Manager, @PrismNetwork_io
• Sonvia · @Sonvia_ai
🗓 Oct 1 · 12 PM UTC
📍 X Spaces · @LinkaLabs
Don’t miss it!
#LinkaLabs
Official website is live 🦦
#Readora brings reading, AI, and intelligent discovery into one experience.
Read smarter. Discover better. Turn attention into intelligence.
Start exploring → letsreadora.com
Most reading apps store a list of what you opened.
#Readora stores the relationships that form between them. Every highlight, question, and cross-reference becomes an edge.
Topics split into finer concepts
Concepts link to prior context
The result isn’t a static interest tag.
New week, same focus 🦦
Still heads-down building.
The #Readora website is almost ready to meet you all.
Stay tuned 👀
📚 Reading duration alone is noise.
Completion, depth, highlights, contextual questions, related exploration, and long-term consistency form the real signal.
These signals combine into Proof of Attention in #Readora 🦦
See the whitepaper 👇👇
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Not all attention is equal.
🟣 A long session ≠ deep reading.
🟣 Scrolling ≠ understanding.
🟣 One-time activity ≠ consistent curiosity.
We combine multiple signals to make meaningful attention, not just time spent. #Readora
If content is fuel
Attention is the spark ✨
Understanding is the light that remains #Readora




















