@HcwXd @WonderingApp I'm in love with this app and using it to learn photography for the first time.
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Pranay Madan
533 posts
Pranay Madan
@DataMadan
built AI products in life sciences for 12 years. now building my own. dad. SF.
San Francisco, CA Katılım Kasım 2014
1.5K Takip Edilen296 Takipçiler
I left NotebookLM a few months ago to solve a bigger problem in learning.
Today, as the first step, we are launching @WonderingApp for early access.
It's Duolingo for anything — turning any topic into a guided path with bite-size visual lessons that can fit into your busy schedule.
But you don't sacrifice depth/effectiveness for convenience:
Total Control: You decide how deep you want to go, how difficult the material should be, and how personalized the experience feels.
Active Learning: We provide the tools you need to practice, test your understanding, and actually apply what you’ve learned.
Long-term Mastery: It’s built to help you truly remember and master any subject, not just skim the surface.
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We're launching Sleuth today.
The intelligence platform for biopharma's highest-stakes decisions, in use at top companies in the world.
To celebrate, we broke down the Chinese landscape: 18K+ assets & a map of the strategic white space. RT + comment "Sleuth" for access.
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I fully reverse-engineered Ramp's internal AI operating system.
Their system — called Glass — is how they got 99% of their entire company using AI every single day.
350+ reusable workflows.
Every tool connected at first login.
Memory that refreshes every 24 hours.
Automations running while everyone sleeps.
I partnered with my engineering team and we broke down every component inside it.
Then we rebuilt the whole thing for marketing agencies.
76 pages.
Every system.
Every layer.
Every step.
Steal it.
Comment "OS" and I'll send it directly.
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Eric Glyman@eglyman
99% of Ramp uses ai daily. but we noticed most people were stuck — not because the models weren't good enough, but because the setup was too painful and unintuitive for most. terminal configs, mcp servers, everyone figuring it out alone. so we built Glass. every employee gets a fully configured ai workspace on day one — integrations connected via sso, a marketplace of 350+ reusable skills built by colleagues, persistent memory, scheduled automations. when one person on a team figures out a better workflow, everyone on that team gets it and gets more productive. the companies that make every employee effective with ai will compound advantages their competitors can't match. most are waiting for vendors to solve this. we decided to own it.
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On days like these, I’m thankful for capitalism and competition.
I can actually switch instead of getting locked in. Short-term pain - Opus is that damn good - but OpenAI will catch up, prices keep dropping, and at the end of the day we the consumers win.
The market decides. Fast.
@steipete
Peter Steinberger 🦞@steipete
woke up and my mentions are full of these Both me and @davemorin tried to talk sense into Anthropic, best we managed was delaying this for a week. Funny how timings match up, first they copy some popular features into their closed harness, then they lock out open source.
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The discovery of Claude skills still is an unsolved problem. I learn of the most insane high-impact skills from throwaway mentions in some reply somewhere.
My mobile browser is full of links like these.
What’s the most impressive Claude skill you’ve ever installed?
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@elonmusk I would love for a setting to disable short form videos if possible
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3 weeks of building OpenClaw in the dark was enough.
I needed to see my squad, so I built them a home. 🕹️
Mission Control is live:
• Pixel Office: Watch your 12-agent squad actually work (and hit the breakroom).
• Kanban Sync: They don’t just “run”—they update the boards too.
• Zero Guesswork: Real-time logs and cron jobs in one clean view.
If you’re tired of managing an autonomous team through a messy terminal, this is for you.
Comment "OpenClaw" below for beta access! 🚀
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@nikillinit Yes - happy to lend!
I have a couple lying around. Just DM me.
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Anyone have raspberry pi’s laying around that they don’t use? Could we borrow them for one weekend for our healthcare hardware hackathon :)
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The reason Kelly can one shot beautiful apps isn't because she's using a better model, it's because we've so carefully defined the exact process she must follow, communication layers between subagents, pass/fail guardrails, etc.
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Excellent question.
For me "Kelly" is always my main/routing agent. She'll swallow as much as 25k tokens of context on spawn so I don't have to repeat myself.
Each column is a unique session of Kelly, each of which can spawn new subagents with fresh context windows on demand.
Pranay Madan@DataMadan
@Austen Are these different agents or different sessions with the same agent- cant figure out the right approach - i dont want to deal with defining multiple agents..
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@Austen Are these different agents or different sessions with the same agent- cant figure out the right approach - i dont want to deal with defining multiple agents..
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My gift for everyone who loves and uses OpenClaw:
This is "OpenClaw Deck."
Each column is a session, allows subagents to spawn within column, bounce between them with tab/shift+tab or cmd + #
Support for markdown, code syntax highlighting, images, etc.
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@Suhail ive found it useful to just remove all mentions of brave from the skills and prompt - added a new exa search skill and have it named web search - it always defaults to that now, have not tried native openai search
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I genuinely want to start learning how to contribute to open source projects now- just an incredible outcome for everyone- congrats @steipete!!!
Sam Altman@sama
Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.
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7/
Queries (copy/paste):
gist.github.com/pistachioprana…
Dataset:
opendata.hhs.gov/datasets/medic…
Ran with OpenClaw + DuckDB on the 2.9GB parquet in ~20 minutes from my phone.
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6/
⚠️ These are anomaly signals, not accusations.
Some may have legitimate explanations.
Point is: this is basic SQL (GROUP BY, ratios, YoY checks).
Once data is public, these patterns are fast to surface.
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DOGE just open-sourced the largest Medicaid dataset in HHS history.
227M rows. $1.09T in payments. 2018–2024.
I ran 5 fraud-pattern SQL checks on it in ~20 minutes using @openclaw + DuckDB.
Here’s what popped. 🧵
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always wanted to learn linux but never had a reason. then i found omarchy and openclaw in the same week. bought a $230 beelink mini pc. installed both in an afternoon. now i have a personal AI agent running on my desk that checks my email, controls my browser, and texts me on telegram. yesterday it logged into my twitter and deleted 28 tweets it thought were cringe. it was right about all of them. best part: openclaw also helps me configure omarchy itself. no monitor plugged in. the box just sits there silently, doing things.
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