She shut up all the questions just to address reservation. She is the real baddie 🚨
Reporter - What's your say on this protest? You have been coming here for the last two weeks
Doctor mansi oberoi - First of all, don't call this a student protest. Whenever I talk about reservation, these people around me start shouting. Reservation is harming fair education and it should be addressed.
The maid who comes to my house, her husband left her 3 years ago. Now she has 4 kids to feed. She is a Thakur. None of her kids will get reservation. We pay her 15k per month. That's all we can do. Her family is poor. When her kids grow up, they won't have any facilities. Instead, they will have to score 600+ in NEET to secure a seat.
Meanwhile, someone like Abhijit Diple, who may be earning lakhs or crores, his children will get reservation and may get a seat even after scoring 400. They don't need it. They already have a lavish lifestyle. Is this a wrong issue to address? Why am I being seen as the villain by all these protesters here if I am talking about this?
Good to see GC taking over the jantar mantar protest and addressing the most important educational issue 🙏
I built a small macOS menu bar app for a workflow I do constantly: take a screenshot, compress it, and paste it into an AI chat or document without saving a file.
It supports full-screen and selected-area screenshots, copies directly to the clipboard, and lets you choose JPEG quality presets so pasted images are smaller. It also has configurable global shortcuts and shows the last capture size/megapixels in the menu.
What makes this demo really interesting is not just voice control.
It’s the speed.
Anyone who has used computer-use agents knows that they are notoriously slow, they keep re-reading huge GUI context every step.
I found a simple way to make computer-use agents faster ...
🚨 Paperclip dropped another OpenClaw game-changer.
Before: manage your team of agents.
New: 1-click setup of zero-human companies.
All open source.
It's like an app store for ZERO-human companies.
@dotta, the creator, showed me how to set it up.
Our pitch at AGI Labs to our customers has been to reduce token costs by 90-99%. We have moved everyone to Qwen and Qwen custom fine tunes on Claude outputs. (Mistral for EU customers). Qwen probably has more users than Claude today
Now that we’re done at YCombinator, we’re revealing how we went from 0 → $10k MRR in our first 30 days, using only ONE channel (step by step).
We spent less than $100 and didn’t have any paid ads, SEO, waitlist, or content marketing.
Instead, we sent 50-75 highly targeted cold emails a day.
Cold email is the most underrated channel because it's hard to get right, but if you figure it out you can sell ANY B2B product.
Here's what we did from start to finish:
STEP 1: Build an ultra‑specific customer profile at both company and person level.
If you do this right, you can mess everything else up and still succeed.
The goal here is to create such a perfect customer, that if they heard about your solution they would have no choice but to say "tell me more".
Step 2: Build your list
After you create this customer profile, find the companies that meet this criteria.
Find 30–50 target companies on LinkedIn, then grab decision‑maker emails via Apollo/Wiza.
STEP 3: Writing a killer email
I used to run an outbound email agency and we'd send 50k+ emails/month to book b2b sales calls via cold email. Here are the basic principles of cold email writing that I always use:
-Keep it 5-8 sentences. 70%+ of emails are read on mobile, so make sure they get most of it from that screen view.
- Never write more than 2 sentences without breaking up the lines. People skim, and that’s the best way to keep their attention
- DO NOT talk about your product’s features.
- Instead, talk about the person, their company, and their pain points.
STEP 4: The call
I took 493 sales calls in Origami’s first 3 months. Here's what I learned:
The 2 biggest goals for this call are
- Figuring out the customer’s problems
- Getting the customer excited about your solution
Unless you already have PMF, it doesn't matter if you have a full built product. You still need to spend 90%+ of your time figuring out what the customer actually needs.
In the early stages, you can even offer a full refund if they aren’t satisfied to give them maximum confidence and get your first few deals over the line.
STEP 5: Closing/After
Congrats! You cracked cold email.
This was the exact approach we used at Origami to get our first $10k MRR, and the highest converting outbound approach I’ve seen when I ran my agency.
I posted the stats in my prior tweets, but in our first 40 days we sent 3119 emails (~77 per day) and got a 5.3% response rate, resulting in demos with 64 founders at companies within our ICP.
This resulted in ~$22k new MRR by the time our sales for all of these calls had closed.
The best part is that once you nail this process, you can automate it. We've got our Origami AI Agents (@origamichat) finding new customers 24/7, which frees us up to explore new channels and focus on scaling.
CONCLUSION
This is a very short version of my guide. The full guide I posted on X last year (@fin465) hit 800k impressions and 10k+ bookmarks.
If you want me to DM it you, comment GUIDE.
Super excited to finally share a new project that we’ve been working called Project Astro!
Under this project we'll be launching 333 satellites to map the precise real-time positions of planets, stars, and celestial bodies with accuracy no ground-based observatory can match.
We’re partnering with one of the world's largest astrology platforms (under NDA, but you can guess) to offer the world’s first satellite-verified AI service (no not Artificial Intelligence - Astrological Intelligence).
Real-time planetary and constellation positions. No approximations. No outdated ephemeris tables from the 1960s. Just cold, hard, space-grade astrological truth.
Some highlights:
— First paying customer is an unnamed billionaire who has refused to close his next round of funding until Mercury’s position is independently verified by a satellite. We quoted him $1Mn. He didn’t blink.
— We’re already in talks with 3 matrimonial platforms for API integration. Vibe-matching powered by actual space infrastructure. “Satellite-matched” as a badge on profiles.
— B2G pipeline is strong. One state election commission has informally asked if we can provide “auspicious window analysis” for announcing election dates
— TAM is conservatively 3.2 billion people, but ideal customer profile is anyone that believes this post today.
Our Finance team has flagged that this pivot makes our Series C narrative “complicated.” I have responded that astrology-tech is the only sector with both zero customer churn and zero price sensitivity.
New Den features coming up this week:
- Custom LLMs to connect your existing providers or LiteLLM provider and provision your team.
- Skill Hub to keep your team in sync
I’ve spent at least 100 hours setting up, training, and working with @openclaw
Read the docs. Peeked into the source code. Edited config files by hand. Walked friends though their setup.
Then, I wrote down everything I know.
Here it is: The Ultimate 0 > 🦞 Guide
ty ty to @lennysan@nateliason@davemorin@steipete@lindsmccallum@elawless for early feedback.
gl hf snap snap 🦞https://t.co/McmguuljrN
OpenClaw: The complete guide
@ClaireVo has just put together the definitive guide to getting started with and mastering OpenClaw.
Building on our podcast episode, this post covers everything you need to know, from first install to multi-agent setups, plus the real costs and security gotchas most people skip over.
Whether you’re brand new to OpenClaw or already running one, Claire’s guide will level you up.
Find it here 🦞: https://t.co/x9h7gwH3cT
The real story here is OpenClaw triggered a full-blown platform war in China within a single week.
ByteDance shipped ArkClaw (cloud SaaS). Tencent shipped WorkBuddy. Alibaba opened QoderWork. Zhipu shipped AutoClaw (local installer). Four trillion-dollar-class companies, same week, all racing to own the distribution layer on top of a single open-source project with 310,000 GitHub stars.
OpenClaw is free. The code is open. The framework costs nothing. And four companies are spending real engineering resources to wrap it in their own packaging.
Zhipu's bet is the most aggressive. No API key required. Model runs on the machine. 50 pre-built skills ship inside the installer. Browser automation included. The pitch is "fully local, your data never leaves." The play is: whoever owns the default install experience owns the skill ecosystem, the model upgrade path, and the browser automation layer that makes agents actually useful.
Zhipu's Hong Kong stock jumped 13% on the announcement. The market priced in exactly what this means: distribution is the only moat in open-source AI.
This is the browser wars rewritten for AI agents. Netscape was free. Internet Explorer was free. The money was never in the browser. It was in controlling what loaded when you opened it.
Shenzhen is already publishing government subsidies for OpenClaw developers. They call them the "Lobster Ten Policies." Cities are funding open-source agent ecosystems with up to 2 million yuan per contributor.
China just compressed what took the American tech industry a decade of platform wars into a single week.
I think Paperclip can replace Trello, Monday, Notion, and so on, not yet, but soon. Here are my thoughts.
Once you have a team of humans, you will need a place to manage everything. That can be Paperclip if done right.
You can open tickets for employees, talk, etc. Same as in any knowledge / kanban-based system.
Then, when you need some AI, you can also assign the ticket to an agent.
It's powerful because you are not working alone; you are working with your company and your agents.
The main limitation for something like OpenClaw, Claude Code alone, that it's run by one person.
I have a feeling that soon the Unicrons, like Monday, will also introduce something like this, @dotta needs to be fast :)
I have an employee joining the company tomorrow, and I am thinking to use Paperclip as our knowledge base.
I got 72 visits from ChatGPT in one week.
No SEO.
No ads.
No content marketing.
Just a team of AI agents running my GTM on autopilot. Here's exactly how I built it 🧵