All about electronics and my life, one step at a time✨✨ TIHAN IITH Intern
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Joined December 2024
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Looking for a 6mo internship / full-time role starting Jan 2027.
Currently working on drones @ Auraa. Experience in analog/digital design, PCB design, RISC-V, Verilog & verification. First-author IEEE paper.
Looking for roles in similar fields. DMs open! (preferably Bangalore)
Nvidia OA question:
A number N is of the form abcabc (where a, b and c are decimal digits between 1 and 9, including 1 and 9). The number 'abc' is a perfect cube. N is multiplied by p * k.
Given the value of p is 1183, find the smallest non-zero value of k such that N * p * k is a perfect cube.
ppp. retweeted
this might be the strongest case for agent swarms yet.
@axiommath just formalized one of the largest proofs in mathematics. ~15,000 pages of work, verified in 24 days. agents coordinated through GitHub, reviewed each other's work, and even found a decades old flaw. i think this is where software engineering is heading. code we can actually verify.
🤝 Paid partnership
Some years ago , when I bought my laptop the biggest mistake I made was to get a 512 gb SSD one and that has created so many problems for me ever since. Now I am huge fan of playing games but I couldn't bcuz of not having enough space.
Today he bought this..I have been saying that I can't play games and all... Now I finally can..yayyyyy... Soo happy.
This is a man who pays attention.❣️
ppp. retweeted
PaperCode by @cneuralnetwork just joined TrustMRR
🔁 MRR: $64/mo
💰 Revenue (30d): $162
💵 Total revenue: $2.1k
📈 Growth (30d): -56%
💸 Profit margin: 100%
💳 Active subs: 11
trustmrr.com/startup/paperco…
ppp. retweeted
came across @_MonoDesk today, which handles everything from proposals to invoices in one place.
say a client asks for an extra feature. its agent can check the agreed scope, flag the additional work, and draft a response. and it's actually 100% free and has MCP integration!
🤝 Paid partnership
You know us as your creative asset toolkit.
Now meet @_MonoDesk, a whole new app from our team, built to handle the boring bits of creative work.
Less time on proposals, chasing approvals and sending invoices. More time on the creative side of your business.
ppp. retweeted
human intelligence has always been distributed. most of what we've achieved comes from people with different capabilities working together. but with AI, we're mostly trying to build superintelligence by scaling individual models.
i came across @dcog, which just came out of stealth with backing from Verdict Capital. they're exploring Topological Super Intelligence (TSI), where smaller, specialized models collaborate through learned communication layers.
i find the idea that communication between models could matter as much as model size quite interesting.
🤝 Paid partnership
Today distributed cognition exits out of stealth with backing by Verdict Capital.
Our mission is to replicate humanity's collective intelligence.
Read more: dcog.com/research/our-impera…
Most of today's AI power is held in the hands of a few, who can choose what you're allowed to think and what you're permitted to do.
We stand on three substantially different foundational beliefs:
- You shouldn't ask permission for intelligence.
- Superintelligence will be a distributed collective.
- Humans are not meant to be relegated to a permanent underclass.
If we don't distribute intelligence, nobody will.
ppp. retweeted
one of the rarest things in AI today is data that models haven't already seen. a lot of valuable data is sitting inside private companies, completely inaccessible to the AI labs that could actually use it for training.
i recently came across @datavendor_ai, which is building a marketplace for exactly this. instead of spending weeks finding vendors and negotiating access, AI labs can simply post what they need, and vendors can come to them with matching datasets.
i feel this is a pretty interesting direction for how AI training data could be sourced and traded in the future.
🤝 Paid partnership
We're announcing the public beta of datavendor.ai
We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.
Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.
ppp. retweeted
i recently found out how much money sales teams lose even after someone has already shown interest.
imagine spending thousands on acquiring leads, only to lose them because nobody followed up fast enough. people start booking, drop off halfway, and by the time someone reaches out, they've already moved on.
that's why i found @iclosedsaas's new iClosed Unified Inbox interesting. it captures leads even if they never finish booking, then follows up in under 5 minutes on the channel they're most likely to answer.
🤝 Paid partnership
Most businesses don't lose deals on price. They lose them because they never capture the demand they already paid for.
7 out of 10 leads open your calendar and never book. The 3 who do wait hours for a reply.
Today we fix both.
Introducing the iClosed Unified Inbox: every lead captured before the calendar, every one of them replied to in under 5 minutes, every DM, email and call recording in one inbox for your whole team:
iclosed.io/product/unified-i…
ppp. retweeted
brands are probably missing most of the conversations happening about them on the internet. someone could be talking about your product in a viral video without ever tagging you, and you'd never know.
that's what i find interesting about @nectarsocialai. it uses multimodal AI to catch these conversations, discover creators, and deploy agents to engage in the brand's voice.
this is how AI agents in marketing get genuinely interesting, generating actual growth :)
🤝 Paid partnership
Engineers stopped writing every line of code and started directing agents.
Growth and marketing teams are in that moment now.
Meet the next chapter of Nectar: the agentic growth stack. One platform replacing 5+ legacy tools. Agents that work every message, creator outreach and creative research about your brand, and tie it all back to revenue 🍊
So proud of this person 👏
Watching you build this life from scratch really inspires me everyday to do better especially being someone who has witnessed all those days where you worked so hard to get this far. You deserve every single thing you have achieved.
Here's to chasing many more milestones in future 👏👏
I can't just express today how emotional I am with this MacBook purchase as well, right? I'll just tell you: two years ago I had asked for ₹7 from my girlfriend to have one cup of tea. That was my financial scenario two years back.
I just woke up and did shit every day. I still do shit every day and it just means so much that today I can go into a shop and buy this. I just cannot express in words how much this means to me as well because it's so... you feel proud of yourself.
Like from having ₹10 in your bank account to working hard every single day, showing up every day, and doing everything possible in your things. If, through multiple rejections from multiple companies, you still show up every day and do get this done, that just feels so good at this point: I'm getting some kind of fruits, some kind of rewards from all the hard work I have done. I just want to say that it is possible to work hard enough.
ppp. retweeted
Used Treg right now to find some leads for AI startup founders.
It actually found so many results in such a short time and only cost me a few cents.
Gonna be a power user now :)
🤝 Paid partnership
Introducing OpenSource Recruiter for Claude
- Paste any job post → 50 ranked candidates
- Personal email + mobile, $0.20/candidate
- No $170/mo seat, no 30-InMail limit
- 0% markup, fully open source
Try it at treg.to/recruit
Repo link below 👇
ppp. retweeted
I've always been interested in pushing local inference without compromising model quality, and Recursive's Flint looks really promising.
40B MoE with just ~2B active parameters, scoring 89.7 on SWE-bench Pro v2 and 89.2 on IFBench.
What's more interesting is that their Eureka Machine helped optimize the architecture, low-bit training, and inference kernels.
Really interesting direction for automated AI research.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.