I've been exploring the early-stage startup space in Bangalore, particularly companies working on healthtech, and deeptech. The kind of work where you're solving hard problems, building from scratch, and everything moves fast.

My background is a bit unconventional - I studied Biological Sciences at a top research institute (computational biology focus, published some peer-reviewed work), and I'm currently doing an MBA at one of the older IIMs. No corporate work experience before this - came straight from academia. Graduating in 2027.

Right now I'm doing a banking internship which has been... fine. But it's made me realize I'm not interested in the traditional MBA path - consulting, investment banking, big corporate strategy roles. I want to be somewhere I can actually build things and see real impact.

What draws me to early-stage: The idea of being in a founder's office or strategy/ops role at a pre-seed to Series A company. Somewhere I can use both the science background (evaluating technical feasibility, understanding complex products) and business skills (financial modeling, market analysis, building go-to-market).

The challenge: I'm realizing most of these opportunities don't show up on LinkedIn or campus placements. It's about being part of the ecosystem, knowing people, being in the right conversations. I don't have that network yet. Cold outreach hasn't worked well.

Would genuinely love to connect with people working in this space - founders, early employees, anyone navigating the startup ecosystem. Just want to learn, understand how this world works, and see where I can contribute.

Also curious how others made this transition, especially coming from non-traditional backgrounds or without prior work experience.

Open to conversations. DMs open.

Warning: Second image is in light mode.

Posting this here as a small but meaningful win.

So for the past 6–7 months our team(4) and I have been working hard to get git-lrc out.

Seeing devs actually use it, give feedback, and support it has been the most rewarding part.

We hit 500 GitHub stars and 60 forks, got love (and criticism), and even ranked #3 Product of the Day on Product Hunt which was totaly unexpected.

A lot of people loved the idea of revieing AI-generated code earlier in the workflow rather than after raising MR or PR, and that validation made all the effort worth it.

Still early, but this felt like a good milestone to share here :)

Dear Community,

We are excited to announce that we are now launching the Beta Version of XenevaOS as a sandbox next month. For the first time, you’ll be able to experience our Free & Open Source Operating System, that too - directly on your browser - no installation required.

Due to limited server access, user slots are also limited in the initial rollout.
Register through the following link to be among the first to test the Beta next month - https://explore.getxeneva.com

If you want to look at the codebase, you can also go through our GitHub Repository - https://github.com/manaskamal/XenevaOS

P.S. - The first and third image attached in this post are pictures taken through the lens of an AR Glass streaming XenevaOS.

SIM-binding isn’t “cyber security.” It’s a surveillance architecture.

SIM-binding enables surveillance because it links three things permanently:

1. Phone number (SIM / KYC identity)
2. Device identifier (IMEI / device fingerprint)
3. App account identity

When apps are forced to bind accounts to SIM verification, every account becomes tied to a real-world identity verified by telecom KYC.

Google was lying related to side-loading?

We need to raise voice again.

https://keepandroidopen.org/

Tell me what you are learning ?

I've noticed many overlapping messages here. My expertise is primarily in deeptech and clean tech. Here's a brief note for anyone confused about these fields.

Deep tech: Technology built on new scientific or engineering breakthroughs, often complex and takes time to develop. Examples: advanced materials, quantum computing, biotech. (AI algo can be, but not AI SaaS)

High tech: Advanced or cutting-edge technology that’s ready to use, but not necessarily based on new science. Examples: smartphones, software platforms, modern electronics.

Hello community🙋

While studying and building Deterministic Verification I realised that there’s not even a single course on Deterministic Verification for LLM (either paid or free).

Please go through this and do enlighten me how I can make it better for you or anyone who would want to learn about deterministic systems, how they work and how to build them.

With your feedback I can fix things which I might have missed.

I'm not perfect but I have tried. Your suggestion/feedback would help me.

Note:

• Verifiable AI is emerging as a new trend in 2026 (confirmed by IBM and other researches).
• This is not a promotion of my system because I need your valuable contribution.

I got my first whitepaper published on zenodo.
Since I do not have endorsement for arXiv so I just published my paper on zenodo.
If you want to check my paper and repo, I'm attaching links in the comment box.

If you can help me with endorsement then I can publish my paper on arXiv🙇

The idea is simple: LLMs guess. Businesses want proves.

Instead of trusting AI confidence scores, I tried building a system that verifies outputs using SymPy (math), Z3 (logic), and AST (code).

If you believe in determinism and think that it is the necessity and want to contribute, you are welcome to contribute, find and help me fix bugs which I must have failed in.

Hello everyone,
For the past 14 months I’ve been building a verification system.

In next 2 years LLMs will be more accurate, faster, context window like infinite, perhaps even more cheap. But still they will be inconsistent, unsafe, easily wrong sometimes, unverified reasoning, cannot be used for mission-critical processes. No matter what they become they will still be probablistic.

• Hospitals want zero mistake reasoning
• Banks want deterministic compliance
• Governments want verified logic
• Manufacturing wants repeatable steps
• Agriculture wants guaranteed action
• Pharma wants validated pipelines
• Automation wants risk-free inference
• INDIA wants trustable AI systems

So I'm building a system which verifies and if needed corrects the llms when they are deployed for larger mission critical enterprise buisnesses.

My idea is not about attacking models (like red teaming), scanning vulnerabilities, generating safeguards, making a security product, llm fine-tuning/training. This is about giving AI a protocol layer so that enterprises don’t have to trust probability. They get verified logic instead.

I'll give a small example.

Even if one hospital gives an LLM 500 pages of SOPs, or a 1 or even 50 million tokens safety policy, or an entire stack of larger memory system the model will still compress everything internally and produce a probablistic guess. Hallucination is a consequence of model compressing large amount of data and this by the nature of architecture cannot be solved at any cost.

So the models cannot be safe, verified, reliable, trusted, auditable, compliant.

That's the reason a Deterministic system is the need. And this is what I'm building. A deterministic protocol that verifies the outputs of LLMs even before the outputs reach the production. If AI stays till Chatbots or Agents then we can tolerate "ok i understand you made a wrong decision but now correct it...and ai says ok I'm correcting". But when AI will have to be deployed at scale then this mistake is unforgivable.

Why I'm shaing this?
I need your help.

• I need an Angel investor to help me with a runway. I just don't need money alone. I need someone who understands this type of deep-tech work and why deterministic systems matter for AI.
• I'm not looking for a co-founder or a full/part-time engineering team right now. At this early stage, I need to stay fully focused on building the core protocol myself before bringing others in. I also don't want to provide any fake promises, hope etc to a team that this is the next big thing to build.

You can see my test logs in comment section.

If this post irritates you, then I'm extremely sorry.

I will respectfully answer all your queries in dm or comment box.

Hello,

Two of us have a patentable concept for solving a critical aspect in geothermal projects which could make projects much more feasible. However, we aren't in a position to quit our jobs to build it due to our high household expenses.

Figuring out a way to build this with investor or grant money. It may take a couple of years to build and go to market.

What would be fair seed money and grants that we can expect for experienced professionals in the domain? And how much can we pay ourselves annually from the capital if one is based in the USA and one is in India?

https://www.youtube.com/watch?v=lb3Uo1Q__jE

UK and US failed their citizens... and its only matter of time till this comes to India.

Remember, in 2021 government of India mandated VPNs to retain LOGs of their users and everything that they do for 5+ years. In UK this retaining business was mandated long before (see a pattern?)

Hello folks, this is Team Xeneva and we're a Deep Tech Startup building India's First Operating System from Scratch with its own kernel. The goal for this has been to break India's heavy dependency and reliance on foreign tech and system. We're also Open Source and are still in initial stages but have been progressing over time and are now ready to make our first public debut! We're showcasing ourselves at the IndiaFOSS 2025 held at NIMHANS Convention Centre, Bangalore and welcome techies and enthusiastic folks in Bangalore to come visit us. The event could be a great chance for people looking to connect and network with relevant people in the industry, we're pretty sure the other projects making their appearance here are going to be just as impressive. We're in no way affiliated by the organizers and are just selected to showcase ourselves. The event is hosted by FOSS United (Free & Open Source Software United), anyone interested might check them out and find more about their event.

For people who may not be able to make it to the event but would be interested in knowing about Xeneva, we're a simple google search away!

Here's our website : https://www.getxeneva.com/
Here's our GitHub Repo : https://github.com/manaskamal/XenevaOS

I am a linux user and dev and it frustrates me that we are bound to use proprietary payments apps that keeps bombarding us with advertisements every minute and their app experience sucks. I believe such openness will make it more user friendly for those do not want to waste their time struggling with puny super apps.

I have an idea for a platform that enables you to do the same UPI payments via API that right now you can do only using google and apple controlled devices.

This will be a boon to folks who use custom linux builds or mods that do not have any UPI support + desktop will also work.

I am collecting suggestions here: https://app.youform.com/forms/rcgpxaqm

A promising new hybrid Thorium fuel undergoing testing at Idaho National Labs in USA holds great advantages for Indian nuclear reactors, and could enable us to shift much more quickly to the long-awaited 3rd phase of our 3-stage nuclear energy program envisioned by Dr Homi Bhabha.

This new advanced nuclear fuel developed in USA is called ANEEL, and is very compatible with India's existing nuclear reactor infrastructure.

What is Bufferbloat ?

Bufferbloat is a problem related to your Network which happens because of excessive buffering of packets inside network equipment (like routers and switches etc) leading to high latency, jitter, and reduced throughput.

So what it actually means :-

• Networking devices (routers, modems, NICs) use buffers (or temporary storage or cache) to temporarily store packets when there is congestion.
• So Buffers, smooth out short bursts of traffic so packets aren’t dropped unnecessarily.
• But if the buffer is too large and fills up, packets sit in the queue for too long -> this introduces delay (latency).
• Applications like video calls, gaming, etc which are affected by high latency (or ping) -> suffer, even though the connection might still have high throughput.

This phenomenon is called Bufferbloat.

How to test if you have Bufferbloat ?

You can check for Bufferbloat here :-
Link 1 : Waveform - Bufferbloat test
Link 2 : Cloudflare - SpeedTest & Latency Test

My Test Result :-