Angel Investor | Global R&D Leader - Cloud | Data | AI/ML | RF |Semicon | EDA | S/w Architecture. Itinerant. Distance Runner.
Bangalore
Joined October 2007
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Created a list of around 100 books that had major impact on me over the last two decades. These are also the books that I've re-read several times. buff.ly/2xaaDLd
This is such a brilliant idea.
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
hackertube.org/
- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊
A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.
Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.
RamPrasad "RamP!" Moudgalya retweeted
Very excited to share Genie 4, our incredible interactive world model, bringing together real-time physics, reasoning, and audio! Simulations within simulations, makes you wonder just how deep the rabbit hole goes... I have a feeling we will be finding out soon enough...
RamPrasad "RamP!" Moudgalya retweeted
What tasks should AI be trusted with, and when should humans remain involved? Designing those decision rights is one of the defining challenges of the AI era. Researchers at the MIT Center for Information Systems Research have developed a framework to help.
Learn more: bit.ly/4zed20M
ALT This image is a diagram titled "The AI Decision Matrix: A framework for determining how humans and autonomous AI agents should participate in decision-making based on two dimensions: ambiguity and risk," from MIT Sloan School of Management. It features a 2x2 grid with "Ambiguity" on the y-axis (ranging from low to high) and "Risk" on the x-axis (ranging from low to high). The quadrants are labeled as follows: top left is "Exploratory," top right is "Strategic," bottom left is "Routine," and bottom right is "Consequential." Each quadrant includes descriptions of decision types, approach, and ownership. A key at the bottom explains decision components and participants, with colors indicating human or AI ownership. The footer cites the source and publication.
RamPrasad "RamP!" Moudgalya retweeted
Last 3 overs of the epic knock of Virat Kohli in the Ind Vs Pak match, with scintillating commentary by the ausie commentator! 🔥 nitter.cf/Melbourne__82/status/2…
RamPrasad "RamP!" Moudgalya retweeted
Here's my updated review of each personal agent:
1. Grok Bot
Pros: A team of bots is the easiest to understand. Free X access is amazing for research. Voice mode and the new Pages feature are great.
Cons: Email feature doesn't really work.
2. Muse
Pros: Free, best consumer UX, most meme-worthy avatar, and business calling is amazing.
Cons: Muse Wonder is good but Opus/Astra is better.
3. Claude Duet
Pros: Most proactive out of the box. Feels polished and simple to use. Arguably the best model behind it.
Cons: Missing some features in research preview, like being able to drive its browser.
4. ChatGPT Dots
Pros: Works inside ChatGPT, so it can drive all your cloud and local threads.
Cons: Much better than at launch but still buggy. Voice mode is slow to connect.
I've also tried Instinct and some of the other agents, but I don't want more than 4 at a time connected to my email.
📌 Don't miss my full Claude Duet review here for everything that it can do: youtu.be/D-pz8L1orVI
Claude Duet, Anthropic’s 24/7 personal agent, is finally here.
I had early access and here’s my new video with my honest take on:
→ Why I think it's the most proactive agent
→ Why Artifacts could be its secret sauce
→ How it stacks up to Grok Bot, Muse, and Dots
Duet is in research preview and I’m sure will improve a lot over time.
📌 Watch now: youtu.be/D-pz8L1orVI
nitter.cf/claudeai/status/211298…
RamPrasad "RamP!" Moudgalya retweeted
Anthropic hired this engineer at $350K–$850K a year because he knows how to build harnesses for multi-agent systems
In a 12-minute workshop, he shows exactly how to build one from scratch
AI → Agents → Harness → Loops → Graphs
step 1 → start with the Claude Agent → the harness handles loops, context, and sandboxing
step 2 → separate the brain from the hands → reasoning in one place, tools in a sandbox, 60% faster to first token
step 3 → run it server-side and log every step → close your laptop and it keeps running, crashes resume from the log
step 4 → make failure cheap → retry dead sandboxes and replay lost context instead of starting over
step 5 → turn yesterday's logs into new memory and skills → the harness wakes up smarter
Anthropic calls this "dreaming"
Most people spend weeks building this by hand
You don't have to
Bookmark and watch it
Then read the full Opus 5.5 harness engineering guide below ↓
RamPrasad "RamP!" Moudgalya retweeted
Remember Kahneman's Thinking, Fast and Slow?
The brain decides when to rely on learned patterns (sys1-fast/Cerebellum + distr. networks) vs. deliberate thinking (sys2-slow/Prefrontal Cortex). Energy and compute constraints necessitates efficiency.
Where is the System 1 for RL?
RamPrasad "RamP!" Moudgalya retweeted
Ben Horowitz on treating your story as your strategy, and why founders often skip writing it even though it's one of the most important parts of the job:
"The story of the company is also the strategy of the company... In your mind, you're kind of adjusting that strategy a little bit at a time every day. But then a quarter later, it's actually pretty different than what you started with."
"So it's really important that you keep upgrading your story. The articulation of your story. I would definitely recommend it be in written form."
"Something that you can share with everybody in the company, and everybody you're recruiting, everybody you're trying to raise money from, all your constituents, every customer."
"The problem that I think founders have is it doesn't feel like work. Like, 'What are you doing today?' 'I'm working on my story.' That doesn't sound like work."
"Because it doesn't feel like work, people don't do it, but it's probably one of the most important parts of the job."
@bhorowitz w/ @speedrun GP @Tocelot
RamPrasad "RamP!" Moudgalya retweeted
Must-read paper from Sakana AI on orchestrating coding agents for scientific research.
(bookmark it)
This is an important read with lots of useful insights if you are building multi-agent systems.
I like this work because it presents a concrete multi-agent framework and an end-to-end distributed pipeline that lets human researchers conduct computational research alongside modern coding agents.
What they did:
A development version of their system helped write a paper that was accepted as a main-conference talk at ALIFE 2026, after human verification and edits.
How they did it:
The Agentic Scientist splits a project into stages. Task drafting, ideation, planning, sandboxed experiments, baselines and ablations, analysis, and report writing each run on a coding agent that checks its own work. A meta-controller runs many of these agents in parallel and checks every stage against a rubric.
The ablations show that reliable autonomy depends on that orchestration layer as well as on the base model.
arxiv.org/abs/2610.18933
Chat with Paper: academy.dair.ai/papers/the-a…
RamPrasad "RamP!" Moudgalya retweeted
Argon has this amazing natural understanding of the world. It can do so many things from first principles.
Here's a pelican riding a bike, using fourier epicycles.
Video made by Argon.
Time-synced Lyria 3.5 music prompted by Argon.
Gemini 4 Argon is live.
blog.google/innovation-and-a…
There's a lot to show you.
RamPrasad "RamP!" Moudgalya retweeted
Google Brain founder Andrew Ng:
"Prompting will be dead in 6 months
Agent harnesses built with loops and graphs will replace it"
Agent → Harness → Feedback → Loops → Graphs → Self-Improving Systems
In this 1-hour Stanford lecture, he explains what the best engineers are building instead and how you can start today
Prompt → Run → Verify → Improve
The first 20 minutes teach what most $1,500 courses try to sell you
For free
Bookmark and watch it today
RamPrasad "RamP!" Moudgalya retweeted
hoy leí esta guía sobre Harness Engineering que me pareció muy buena.
explica cómo se diseñan y construyen agentes de IA, cubriendo temas como:
- gestión del contexto y memoria
- tools y MCP
- orquestación de agentes
- seguridad y permisos
- validación, observabilidad y manejo de errores
muy buen recurso para entender todo lo que hay detrás de agentes como Claude Code o Codex.
documento:
drive.google.com/file/d/1PT-…
además, les dejo un artículo que escribí sobre Harness Engineering para complementar y seguir profundizando.
RamPrasad "RamP!" Moudgalya retweeted
Naresh Jain compares coding agents with and without a harness. He found it made a frontier model more expensive in tokens for little gain, but make a weaker (and cheaper) model more effective.
martinfowler.com/articles/ar…
RamPrasad "RamP!" Moudgalya retweeted
🇮🇳 199 Indian startups have raised $10M+ in 2026.
Here's every one:
1. CRED: $900M Series H ‡
2. Neysa: $600M Series B
3. Sarvam AI: $300M Series B
4. KreditBee: $280M Series E ‡
5. Rapido: $240M Series F
6. Simple Energy: $206.3M † *
7. Emergent: $200M † §
8. Spinny: $170M Series G
9. Udaan: $160M * ‡
10. River Mobility: $120M Series C *
11. Ultrahuman: $118M † *
12. Navi: $100M
13. Slice: $100M ‡
14. Pixxel: $100M Series C
15. Square Yards: $95M *
16. Yulu: $93M Series C *
17. Neo Group: $89.7M †
18. Ultraviolette: $85M Series E
19. Arya ag: $80.6M Series D ‡
20. Ema: $77M Series B §
21. Freehand: $75M §
22. GPS Renewables: $66.4M Series C
23. Scapia: $63M
24. Swish: $62M † *
25. Rocketlane: $60M Series C
26. Skyroot: $60M Growth Round
27. Snabbit: $56M Series D
28. Popo Global: $56M
29. FirstClub: $55M Series B
30. Temple: $54M Seed
31. SolarSquare: $53M Series C
32. IDfy: $52.5M Series F ‡
33. Zetwerk: $52M Pre-IPO
34. The Whole Truth: $51M Series D
35. Juspay: $50M Series D
36. Nua: $50M Series C
37. Euler Motors: $47M Series E
38. cult fit: $47M Series G
39. Pronto: $45M Series B
40. Noon: $44M §
41. Third Wave Coffee: $43M
42. Ecofy: $42M
43. Flam: $40M Series B
44. Mozark: $40M Series B §
45. Palmonas: $40M Series B
46. Raghu Vamsi Aerospace: $40M
47. Veriqus: $40M
48. BusinessNext: $40M
49. Vetic: $40M
50. BookMyShow: $40M (reported)
51. upGrad: $38M
52. Airbound: $37M Series A
53. Atlys: $36M Series C
54. Yuma Energy: $35M Series A
55. DailyObjects: $34.3M Series C ‡
56. Sahi: $33M Series B
57. Pee Safe: $32M Series C
58. Fast&Up: $32M Series D
59. Hang Ten Systems: $32M Seed §
60. Rozana: $31.6M Series B
61. Sukino: $31M Series B
62. Orange Health Labs: $30M Series C
63. Equal: $30M Series B
64. Innefu Labs: $30M Series B
65. Supertails: $30M Series C
66. Emversity: $30M Series A
67. Centricity: $30M *
68. TruNativ: $30M Series B
69. Easy Home Finance: $30M Series C
70. Limelight Diamonds: $29.5M
71. Ethereal Machines: $28.5M Series B
72. Wint Wealth: $28M Series B
73. Unbox Robotics: $28M Series B
74. InRisk Labs: $27M Series A
75. Pramaana Labs: $27M Seed
76. Deccan AI: $25M Series A
77. Stable Money: $25M Pre-Series C
78. BillionE Mobility: $25M *
79. Matter: $25M
80. Assiduus Global: $25M Pre-Series B
81. Escape Plan: $25M Series A
82. Arboreal Bioinnovations: $24M Series A
83. MyGate: $23.6M
84. Knight Fintech: $23.6M Series A
85. Agilitas Sports: $23.5M
86. Olyv: $23M
87. Recykal: $23M Series D
88. WayCool: $22.7M
89. NextGen Finance: $22.6M Series A
90. Kimbal Technologies: $22M Series B
91. Nava: $22M Series A
92. Mosaic Wellness: $21.7M
93. Jain Cord: $21.5M Series A
94. Tsecond ai: $21.5M
95. AllHome: $21.2M Series B
96. Exponent Energy: $21.1M Series B2
97. QNu Labs: $21M Series A
98. Runable: $21M Series A
99. AssetPlus: $21M
100. Plum: $20.5M Series B
101. EtherealX: $20.5M Series A
102. Even Healthcare: $20M
103. Varaha: $20M Series B
104. Constelli: $20M Series A
105. NeoGeo: $20M Series A
106. Nexedge Capital: $20M
107. Bellatrix Aerospace: $20M Pre-Series B
108. Liquidnitro Games: $19.1M Series A
109. Blue Tokai: $19M Series D2
110. Pandorum Technologies: $18M Series B
111. Statiq: $18M
112. Mokobara: $18M Series C
113. Elevate Education: $17.7M Series D
114. Wishlink: $17.5M Series B
115. The Indus Valley: $17M
116. JustAI: $17M Series A
117. BlissClub: $16.8M
118. Xflow: $16.6M Series A
119. Showroom B2B: $16.5M Series A *
120. The Hosteller: $16M Series B
121. Anveshan: $15.8M Series B
122. Incuspaze: $15.6M
123. ZILO: $15.3M Series A
124. SUGAR Cosmetics: $15.3M
125. Plazza: $15M Series A
126. GobbleCube: $15M Series A
127. Fairdeal Market: $15M Series A
128. C2i Semiconductors: $15M Series A
129. Portkey: $15M Series A
130. Vorflux: $15M
131. Whizzo: $15M Series A
132. Mitigata: $15M Series B
133. Gravity: $15M *
134. Zenskar: $15M Series A
135. Piston: $15M Series A
136. Transvolt Mobility: $15M
137. Aerem Solutions: $15M Pre-Series B
138. Bonkers Corner: $15M Series A
139. Loop AI: $14M Series A
140. Quick Clean: $14M Series B
141. Oolka: $14M Series A
142. Matel Motion & Energy: $13.6M Series B
143. Graph AI: $13.3M Series A
144. Captain Fresh: $13.3M
145. Aerchain: $13M Series A
146. StrainX Bioworks: $13M
147. HrdWyr: $13M Series A
148. Smallest ai: $13M Series A
149. Apna Mart: $12.7M Series C
150. Wingreens Farms: $12.6M Series D
151. Rezolv: $12.5M Series A
152. Coral: $12.5M Seed §
153. Bachatt: $12M Series A
154. Prayaan Capital: $12M Series A
155. InstaAstro: $12M Series A
156. Cradlewise: $12M Series A
157. HomeRun: $12M Series A
158. Optimist: $12M Pre-Series A
159. Lumio: $12M Series A
160. GIVA: $12M Series C
161. Naturis Cosmetics: $11.8M Series A
162. BGauss: $11.6M Series D
163. Innoviti: $11.4M Series M
164. Reo Dev: $11.3M Series A
165. RISA Labs: $11.1M Series A
166. KaarTech: $11M Series B
167. LightFury Games: $11M Pre-Series A
168. StrideOne: $11M
169. Dhruva Space: $11M
170. BatX Energies: $11M Series A
171. Off Beat: $10.7M Seed
172. Pluckk: $10.7M Series A
173. HOCCO: $10.7M
174. Aham Housing Finance: $10.7M
175. Rusk Media: $10.6M Pre-Series C
176. Comet: $10.6M Series B
177. Immuneel Therapeutics: $10.5M Series B
178. HyugaLife: $10.5M Series A
179. Bakingo: $10.5M Series B
180. Credilio: $10.5M Series A *
181. Rivet: $10.5M Seed
182. Beyond Appliances: $10.4M Series B
183. Balwaan Krishi: $10.4M Series B
184. Seeds Fincap: $10.4M Series B
185. E3 Electric: $10.4M Series A
186. Inspecity: $10.4M Pre-Series A
187. StockGro: $10.4M Series B
188. Arivihan: $10.2M Series A
189. Material Depot: $10M Series A
190. Vervesemi: $10M Series A
191. CloudSEK: $10M Series B
192. Kapture CX: $10M Pre-Series B
193. TrueFan AI: $10M Series A
194. Gnani ai: $10M Series B
195. Quanfluence: $10M
196. Carrum Mobility: $10M Series B
197. CARPL ai: $10M Series A
198. MeltPlan: $10M
199. Ringg AI: $10M Series A
† Repeat raisers: 5 startups raised twice this year. Their amounts are combined into one line:
- Simple Energy ($180M + $26.3M)
- Emergent ($130M + $70M)
- Ultrahuman ($70M + $48M)
- Neo Group ($53.4M + $36.3M)
- Swish ($38M + $24M)
* Includes debt alongside equity
‡ Headline figure includes secondary share sales (or, for Udaan, conversion of existing bonds), not only fresh capital
§ Headquartered outside India (US or Singapore), founded by Indians with teams in India
Period: Jan 1 to Oct 12, 2026
Sources: Inc42, Entrackr, press releases