Andre Costa

[Marc Lou @marclou]

https://t.co/Yju8RrWuOV

[Avid @Av1dlive]

Andrej Karpathy quietly shipped the best second brain idea in years

not an app. a pattern.

let an llm maintain a wiki of your notes. you dump sources, it reads them, links them, files them. knowledge compounds like interest.

someone built it into a free claude code plugin. setup is two commands:

claude plugin marketplace add AgriciDaniel/claude-obsidian
claude plugin install claude-obsidian@agricidaniel-claude-obsidian

then open obsidian, open claude code in the same folder, type /wiki.

that's it. your notes are now queryable by claude and they get richer every time you read something.

bookmark this. best thing you'll build this weekend.

[Isra @israfill]

your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳

agent-reach is trending on github with 23K stars. it lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos - all without paying for a single API subscription

what your agent accesses for $0:
- Twitter/X posts, profiles, and search
- Reddit threads and comments
- YouTube videos, metadata, and search
- GitHub repos, issues, and profiles
- 10+ more platforms - all in one pip install

what this replaces:
- Twitter API: $100/mo for basic access
- Reddit API: rate-limited free tier, expensive at scale
- YouTube API: quota limits, pay for more
- GitHub API: generous but still rate-limited

why this matters:
- most AI agents are blind to the internet because APIs cost money
- this gives any agent real-time web access at zero marginal cost
- perfect for research agents, content radar, competitive intel, market analysis

how to set up (2 min):

> pip install agent-reach
> run: agent-reach doctor
> connect it to your agent as a tool
> done - your agent can now search the internet for free

important:
- uses direct parsing, not official APIs - no keys needed
- works with claude code, cursor, aider, langchain, any agent framework
- MIT licensed, fully open source
- not for production web scraping at scale - use for agentic research and prototyping
- 23K stars and trending - community vetted

let your agent browse Twitter, Reddit, and GitHub for $0
while everyone else is paying $100+/mo for API access

bookmark this before payying for extra api

↓ repo in comment

[Gipp 🦅 @gippp69]

A CHINESE DEVELOPER FROM BEIJING TURNED CLAUDE CODE INTO A $6,800/MONTH UI MACHINE

one design system tells Claude what every screen should look like, so it stops inventing random colors, buttons, cards and spacing every time it builds a new page

he took the same 10-screen app and rebuilt it twice. without a system, only 2/10 screens looked on-brand. after Moonchild, 9/10 came out clean on the first generation

the numbers are stupid. 6 hours of restyling dropped to 40 minutes. 19 random hex colors dropped to 0. one UI pass that used to eat a whole afternoon now takes less than one client call

that turns into real money fast. sell 4 frontend cleanups at $1,500 each and this is a $6k/month workflow, without hiring a designer or spending 3 days fixing buttons

this is what most vibe coders still miss. Claude Code can build the logic in 3.5 hours, but the product only becomes sellable when all 10 screens look like one expensive SaaS

[Yacine Mahdid @yacinelearning]

guys there is like 7 different papers waiting patiently for you to do them in this one video

[Felpz Crypto @FelpsCrypto]

A ANTHROPIC ACABOU DE QUEBRAR A BARREIRA DAS EMPRESAS

Os agentes do Claude agora rodam as ferramentas dentro da sua própria infraestrutura, enquanto a Anthropic continua rodando o cérebro.

O que impedia bancos, hospitais e governos de colocar agentes de IA em produção acabou. Seus dados nunca saem do seu perímetro.

- O loop do agente, as chamadas ao modelo e a orquestração ficam do lado da Anthropic
- A execução de ferramentas, os arquivos e o tráfego de saída passam totalmente pro seu ambiente
- Vem com Cloudflare, Daytona, Modal, Vercel e mais 5 provedores
- Os túneis MCP deixam os agentes acessar servidores privados com zero regras de firewall de entrada

A guerra dos modelos é que vira manchete. Mas é essa parte que de fato coloca agentes em produção.

[Rork @rork]

https://t.co/QqmpVmmF4W

[Arlo Snod @arlosnod]

I joined PepAI 3 months ago when revenue was at a total of $20k.

While fulfilling my role as marketing manager, I have had the privilege of being apart of an incredible team which have grown this app to $95k in the last 28 days.

So what was the key to this success?

Influencer marketing: Over 100 content creators posting once or twice a week about the app on TikTok and Instagram. Cross posting is Crucial.

Outreach: Our team has been active since February. We have sent 1,000 messages a week since then. 18 weeks. 18,000 messages. Some hit, some missed, some won, some lost.

Deals: An influencer who averages 2-3k views per video is not worth what your paying them. Every deal is not going to be profitable. Find the winners, don't say yes just because you want your brand established.

Wild ride. Just getting started.

[Alex Rives @alexrives]

Together with UC Berkeley we are announcing the laser phase plate - a breakthrough in atomic resolution imaging. This is the brightest continuous wave laser in the world, 100 million times the intensity of the surface of the sun.

Phase contrast plays an important role in microscopy, but it was thought close to impossible for electron microscopy, where it would require interfering with an electron beam. Holger Mueller and Robert Glaeser proposed exactly this using a standing wave laser. It has taken over 15 years to make this a reality. Biohub partnered with UC Berkeley and Mueller to support this work and to engineer and build the technology.

Contrast has been the critical barrier to achieving atomic resolution imaging of the cell. In cryo-electron tomography, a cellular imaging technology that uses electron microscopy, the low contrast makes it impossible to resolve anything but the largest proteins within their cellular context. The laser phase plate removes that barrier.

With advances in AI this breakthrough in contrast will start to open up a new frontier in structural biology, that will allow us to see the molecular machines of the cell, and how they assemble into far more complex and dynamic systems, and understand how they work.

[Anshu @anshuc]

https://t.co/Pj7qOLxE4E

[Caleb Barclay @calebarclay]

We're launching Bridge today 🌉

An AI engine that builds virtual homes. Blueprint in, walkable home out. Every plan, every option, structural changes included.

What took 3D artists months now takes days. Homebuilders can finally show buyers every home they sell.

https://t.co/QrwlM5FUjP

[Interlatent @interlatent]

Our mission is to make it easy for anyone to deploy a robot to help them in the real world

We wrote an intuitive guide to understanding modern robotics, catered toward an audience that understands technology but not AI robotics

We hope that this short blog post embeds in you the core principles that will bring further curiosity.

[Cedric Roberge @Cedric_Roberge]

Pep AI hit $100k total rev on May 9. Now we hit $200k total rev on June 10. $100,000 in revenue in 1 month is crazy! It keeps getting easier and easier. And the app only launched a little over 3 months ago.

[David Sinclair @davidasinclair]

30 years of research came down to one moment. Was honored to be there. Congrats to the team! 👏

[Mau Baron @maubaron]

this legend is behind an app that got
more than 1,000,000 users in just a year

the amount of sauce they carry is actually insane
must follow for anyone in the app space

[Adaptyv Bio @adaptyvbio]

AI has solved software. Biology is the next frontier.
We're hiring across every team at Adaptyv.

We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups.

Demand has grown faster than we have, so we’re hiring across the board:

• Bio: Research associates, scientists and lab technicians to develop and run new assays at scale.

• Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure.

• Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results.

• Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly

[Adi @xadisingh]

Introducing Ara

A loop that talks to your coding agent for you. Self-improving codebase pr's that it builds on its own.

Never prompt again. 10X usage limits for everyone

[Elvis @elvissun]

i'll say this again because i keep seeing people do it wrong:

you can solve ANY engineering problem by dropping an agent with the right harness in a loop.

codex just one-shotted our turbo cache fix after I gave it everything it needs to debug like a real dev on the team.

would have taken 8 hours the old way.

[Ivone tourais @ivonetourais]

Libertem Bolsonaro 💚💛🇧🇷🇧🇷