Ahan M R

Applied Scientist 2 - Microsoft | Prev - Amazon, Microsoft Research | Math & EEE at @BITSPilaniGoa | ML+Web3 Research

[Ahan M R @AhanMR]

Such a wonderful challenge!! Really enjoyed every bit of delving deeper into the financial models using Multi-factor risk models for cryptocurrencies. To many more podium finishes 🏆💃🏼🥳

[Ocean Protocol @oceanprotocol]

We are thrilled to announce the Crypto Factor Modeling #DataChallenge winners, held in cooperation with @Numerai!

1st - NeuralNinja 🥇
2nd - Ahan 🥈
3rd - Malihe 🥉

Your innovative models have unlocked valuable insights into the crypto market, exploring multi-factor risk models to explain cryptocurrency price variance.

Fantastic work by all participants! 👏

🔗Read the full blog post: https://t.co/FA9SWdjYHr

[Ronin @DeRonin_]

All the best startup accelerators to apply in 2026 (below FULL spreadsheet):

[ Top-Tier ]
1. Y Combinator (~$500k, 7% on $125k + uncapped SAFE)
2. a16z Speedrun (~$500k for 10% + $500k follow-on)
3. Techstars (~$220k, bumped from $120k in fall 2025)
4. Founders Inc (~$100-250k for 4-7%)
5. Sequoia Arc (~$1M, terms per company)
6. South Park Commons (~$1M total, $400k for 7% + $600k guaranteed)
7. HF0 (up to $1M uncapped for 5%, repeat founders only)
8. On Deck ODX (DISCONTINUED 2022, skip)
9. Pear VC PearX (~$250k-2M for ~10%)
10. 500 Global Flagship (~$150k for 6%)

[ AI / ML Specific ]
11. AI Grant (~$250k for 7%, Nat Friedman + Daniel Gross)
12. AI Fund (~$1M+, Andrew Ng, studio model)
13. NVIDIA Inception (credits + perks, no equity)
14. Microsoft for Startups (up to $150k Azure credits, no equity)
15. Google for Startups AI Accelerator (credits, no equity)

[ Vertical / Deep Tech ]
16. SOSV (~$525k across IndieBio, HAX, Orbit)
17. IndieBio (biotech, ~$525k = $250k for 6-8% + Genesis SAFE)
18. HAX (hardware, ~$525k via SOSV)
19. Greentown Labs (cleantech, workspace + grants)
20. Activate (deep science fellowship, 2-yr stipend)

[ Crypto / Web3 ]
21. a16z crypto CSX (~$500k for 7%, SF in-person)
22. Alliance (~$500k, ALL18 starts Sept 7)
23. Outlier Ventures Base Camp (~$250k, per-chain verticals)
24. Coinbase Base Builder (varies, mostly non-dilutive)

[ International / Regional ]
25. Seedcamp (~€350k-1M first check, rolling, Europe)
26. Entrepreneur First (~$250k = $125k for 8% + uncapped MFN)
27. Antler Disrupt US (~$400k = $250k for ~9% + uncapped)
28. Brinc (~$100k, Asia + Middle East)
29. Station F (Paris campus, hosted-program terms)
30. Founder Institute ($499-999 fee + 2.5% Equity Collective warrant)

[ Pre-Seed / Idea Stage / Niche ]
31. Z Fellows (~$10k for 1%, pre-product)
32. ERA NYC (~$100k for 8%, generalist)
33. The Residency (community-first, no standard check)
34. Plug and Play (varies, often non-dilutive)
35. Build For Tomorrow (community + grants)

Four things worth knowing:

1. small program acceptance rates are higher than YC, not because they're easier, because the funnel is smaller. apply to 5-7, not 1
2. brand premium on YC is real but not infinite. Arc + Speedrun + HF0 carry signal too
3. "$X for Y%" is the only number that matters. uncapped MFNs are not free money, they dilute you on the next round
4. avoid any list still quoting Techstars at $120k, ODX as active, HF0 at $100k, or Founder Institute as "$10k for 4%". all wrong

Shared with you those where I am going to apply with my ideas and products

Terms shift annually. Verify on each program's site before applying

gl with successful raising

[Romàn @romanbuildsaas]

Gojiberry AI just hit $2M ARR.

A few months ago we were at €0.

This is the second SaaS I've built. The first one I sold at €500K ARR.

This time, we moved faster. Here's exactly how we did it, so you can do it too.

The core principle that changed everything:

We used our own tool to grow our own tool.

Gojiberry AI finds high-intent leads and engages with them automatically.

We run it on ourselves. It works insanely well.

Here's the full breakdown:

1) Outreach (the engine)

- LinkedIn: 5 accounts, 30 connection requests + 30 DMs per account per day.

Only targeting warm leads showing real intent.

Connection acceptance rates and reply rates are insane when you do this right.

- Cold email: 6,000 emails per day. 295,000 sent in 90 days. 900+ opportunities created.

41 domains, 123 inboxes, plain text only, no links, no images, 2-3 email sequences max.

Total infra cost: ~$600/month.

The offer is always the same: a valuable blueprint. No pitch. Just value first.

2) Inbound (the compound effect)

- LinkedIn: 6 posts per day across 6 accounts.

6 days/week = lead magnet content. 1 day/week = founder story.

Last 7 days: 788,187 impressions.

- Reddit: 14.8M+ views in 12 months. The trick: warm up the account, post 3x per week, tell real stories, offer blueprints, and never debate the haters.

- YouTube: Long-tail SEO content targeting competitor keywords. It's starting to rank.

- SEO: 50K visitors/month and growing fast.

3) Paid (we're just starting)

- 3 LinkedIn influencer posts/week (~$500 each).

- Facebook retargeting + acquisition

Scaling paid ads aggressively right now.

4) Demos

5–8 per day. ~70% close rate to free plan. Mostly sales teams.

What actually worked:
→ Using our own tool on ourselves (this alone is a cheat code)
→ High-intent outreach > cold outreach. Every single time.
→ Lead magnet posts on LinkedIn that generate thousands of comments.

One post added $5K MRR in under 24 hours. Cost: $0.

→ Replying to every single comment.
→ Speed. Every delay kills momentum. We removed friction from every step of the funnel.
→ AI helping us do 10x more than we ever could alone.

What's not working:
- We need to delegate. We're currently hiring a founding sales to help us scale to $10M ARR (feel free to reach out if you know someone 😇 )

The path from €0 to $2M ARR is not glamorous.

It's 18-hour days, boring repetitive work, testing things that fail, and doing it all again tomorrow.

But if you do the right things every day, good outreach, real value, fast follow-up, it compounds.

And one day you wake up and you're at $2M ARR.

The goal now: $10M ARR.
LFG. 🔥

PS : we're about to launch a 0 -> $1M ARR GTM course.
Want to receive it? RT + comment GTM below.

[Anthropic @AnthropicAI]

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.

It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7

[Ahan M R @AhanMR]

@briskeey_ @lunor_ai Well, I think Lunor is definitely going to have their next quest this week! Other than that, I usually do some quests on @crunchDAO and @numerai

[Ahan M R @AhanMR]

🥇 I secured 1st place in SignalBoost Round 2 on Lunor (@lunor_ai)! Curated high-signal crypto news that actually moved markets 🎉
Final Score: 3538.35

Finished ~270 points ahead of 2nd place while submitting fewest entries in the top 5.

[Ahan M R @AhanMR]

@kshitijgokul @itspiyanka Congratulations to both of you!! @kshitijgokul and @itspiyanka 🎉🎉🎉😁

[Ahan M R @AhanMR]

just drove 10 kilometers to run 5 kilometers

I would like to speak to whoever is in charge of the math

[Browser Use @browser_use]

We are hosting the biggest browser YC agents hackathon🔶

$100k+ in prizes. Winners get a guaranteed YC interview. A week of free stay in our hackerhouse with sauna + much more💰💰

Automate anything. Scrape any website. QA test your website generations. Build whatever you want.

February 28 - March 1, Y Combinator office, San Francisco 🌁

register🔗↓

[Ahan M R @AhanMR]

@penstrokes75 @lunor_ai Thank you ♥️♥️

[Ahan M R @AhanMR]

Huge respect to everyone on the leaderboard, indeed tough competition 🙌🏼 Loved seeing different strategies play out. Huge shoutout to the community for pushing AI-ready market data forward 📷📷 #DataScience #CryptoNews #Crypto #Bitcoin #ETH

[Ahan M R @AhanMR]

More about the competition and results are detailed below:
https://t.co/y6hKw341uA

[Ahan M R @AhanMR]

The rise in OpenClaw usage lately shows that being able to build multi million dollar business is just one step away!

[Vox @Voxyz_ai]

https://t.co/1f635fzrFW

[Lydia Hallie ✨ @lydiahallie]

Join our Claude Code hackathon!

On top of $100K in API credits, the winner also gets the opportunity to share their project at Claude Code's 1st Birthday Party in SF 🎂🥳

[Ahan M R @AhanMR]

@adityaoberai @joeyousss GET THOSE AWARDS!!

[@levelsio @levelsio]

This guy is running a cluster of Claude Code terminals vibe coding apps until he hits $1,000,000

Most interesting person shipping I've seen recently

He's on here too @matthewmillerai but doesn't seem to tweet a lot

https://t.co/2K3973Ngv1

[Dexter's Lab @DextersSolab]

You will 𝗡𝗘𝗩𝗘𝗥 find better 𝗪𝗜𝗡 𝗥𝗔𝗧𝗘 on Polymarket!

This user isn’t a trader.

It’s a bot that turned $313 into $414k in one month.

𝗛𝗶𝘀 𝘀𝗲𝗰𝗿𝗲𝘁?
He's running one simple strategy.

No narratives.
No adjustments.
Same loop thousands of times.

𝗪𝗵𝗮𝘁 𝗶𝘁 𝗱𝗼𝗲𝘀:
> Trades $BTC / $ETH / $SOL 15-minute Up/Down markets only
> Over 6,300 bets since early December
> 98% win rate
> $4-5k bet every time

His edge isn’t prediction, but timing.

The bot watches spot $BTC on Binance + Coinbase.

When price momentum is already confirmed there, Polymarket is still pricing the previous state for a short window.

That lag is the trade.

𝗜𝘁 𝗲𝗻𝘁𝗲𝗿𝘀 𝗼𝗻𝗹𝘆 𝗱𝘂𝗿𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗴𝗮𝗽:
When real probability is already ~85%
But Polymarket still offers 50/50 pricing.

So it’s not guessing direction.
It’s buying mispriced certainty.

𝗪𝗵𝘆 𝘁𝗵𝗲 𝗣𝗻𝗟 𝗰𝘂𝗿𝘃𝗲 𝗶𝘀 𝗮𝗹𝗺𝗼𝘀𝘁 𝗹𝗶𝗻𝗲𝗮𝗿:

> Thousands of identical micro windows
> Wins capped, but repeated
> Losses diluted by frequency
> Variance crushed by repetition

𝗛𝘂𝗺𝗮𝗻𝘀 𝘄𝗼𝘂𝗹𝗱’𝘃𝗲:
> sized up
> tweaked rules
> chased higher ROI

The bot didn’t.
Same size & same logic every time.

This is temporal arbitrage.

While CT argues about catalysts,
this script just waits 30 seconds and harvests math.

Added the wallet to my watchlist.

𝗛𝗶𝘀 𝗽𝗿𝗼𝗳𝗶𝗹𝗲: https://t.co/XUbwGlJZGg

[Hubert Thieblot @hthieblot]

I'm investing up to 250k first checks in teams building:
- robotics, drones, space
- crypto
- applied ai/ml
- ar/vr
- manufacturing, logistics

DMs always open. Tell me what you're building!

[Ibukun Amosu 🇳🇬🇬🇭 @amosuibk]

here is a list of all startup accelerators you can apply to right now:

- a16z Speedrun ($750k–$1M for ~7–10%)
- Y Combinator ($500k for ~7%)
- Pioneer ($20k for 1%)
- LAUNCH ($125k for 6–7%)
- The Mint ($500k for 10%)
- AngelPad ($120k for 7%)
- Techstars ($220k for ~5–7%)
- 500 Global ($112.5k for 6%)
- Entrepreneur First ($250k for ~9%)
- South Park Commons ($400k for 7% + $600k guaranteed follow-on)
- HFO Residency ($1M uncapped for 5% or $500k uncapped + 3%)
- NEO ($600k via uncapped SAFE with $10M floor valuation)
- Sequoia Arc ($1M)
- PearX ($250k–$2M)
- Betaworks AI Camp ($500k)
- Greylock Edge (SAFE note + $500k+ in credits)
- Conviction Embed ($150k uncapped MFN SAFE)
- OpenAI Converge ($1M equity investment)
- Startup Wise Guys (up to €65k for equity)
- APX (up to €500k, typically €50k for 5%)
- Founders Fellowship ($150k for 5–10%)
- Seedcamp (€100k–€200k for 7–7.5%)
- Antler (€100k for 10% + stipend)
- Google for Startups (up to $100k)Accel Atoms (up to $500k–$1M)
- AI Grant ($250k uncapped)
- AI2 Incubator ($50k–$150k)Afore Capital ($100k–$500k)
- Berkeley SkyDeck ($200k)
- Soma Capital ($100k)
- Founder Institute (equity-based program with undisclosed funding)
- Boost VC (up to $500k for 15%)
- Antler ($200k–$250k for 8–9%)

[Neil Borate @ActusDei]

Welcome to the Hunger Games - Indian Income Tax Version

Every year the Indian State plays a version of hunger games with its taxpayers. Those who have made the mistake of earning RSUs (ESOPs) abroad by working in multinationals or those who have dared to invest abroad through entirely legal channels, trying to take some shelter from an ever-falling rupee, have to run the gauntlet of something called Schedule FA. This Schedule (along with other related parts like Schedule FSI) is an exam that only the most skilled CAs can pass - or they think they can, until the robot singing the song stops and a single foot has inadvertently moved ahead. You then get hit by the horrors of the Black Money Act. The funny thing is the real black money sits in crypto and that is way more relaxed in terms of reporting norms in Schedule VDA.

So let's go back to the hunger games. You have to know first of all that even if you have disclosed your foreign assets or income elsewhere, it must also be present in Schedule FA. Not just present, but in the right way with things like date of investment, peak balance and other minute details correctly recorded. It must be in calendar year although everything else in the ITR is financial year. You have to ensure that the asset is disclosed in rupees using the SBI TT rate (which SBI itself doesn't actually put out). Your CA has to be smart enough to fetch the TT rate from some website the unofficially records it from SBI. If by some miracle you've been a class topper and filled every single detail correctly, you could still end up with a notice. Because 'the system' has flagged it.

Most Indian citizens who invest overseas in listed equity have every intention of paying tax. There is a paper trail at every point - from the remittance to the actual investment with annual information sharing between countries. Sometimes, they make the mistake of thinking tax is payable when there is actually income (schedule FA applies even if you don't actually have any income from abroad that year) and fail to disclose it. If they don't 'do the needful' they are hit with a 10 lakh penalty if they're lucky and prosecution if they are not. In recent years, the State has waived penalty for small mistakes (up to Rs 20 lakh) but for many, the annual hunger games are a brutal as ever. As more and more people flunk the exam, the government has tried SMSes and 'nudge' to get them to pass.

But here's a simpler idea. Just prefill Schedule FA and FSI using the info you get from foreign countries and let citizens 'agree' with the tax. Just as happens with the AIS for all other types of income. Alternatively give a relaxation from hunger games for those investing in listed equity - these are not the black money people. They're just trying to make a quick buck by scoring the next Nvidia or they actually work in Nvidia.

Unless the State has every intention of playing these games so that scapegoats can be found, while politicians continue to sink black money into real estate and crypto without check. In that case, lose your best and brightest to Dubai, faster than ever.

[CA Ruchita Vaghani @R_N_Vaghani]

Received Income Tax Notice for Foreign Stocks via INDmoney?

Here is the Solution 👇👇(Read Full Thread in Comment)

🔁 Retweet Max to help other investors as well