Rish (@rish_gpt) header
Rish (@rish_gpt) profile picture

Sucker for physical and mental torture. Building Spot AI, investing via The Explorer Fund, writing at https://teapawt.org/t.co/AZysGFLfVB

San Francisco, CA
Joined July 2007
Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)Photo by Rish (@rish_gpt)
🏆 ONE WEEK AGO, WE MADE HISTORY. 💜 One week later, and it still feels just as special. The emotions. The fight. The brotherhood. The moment we lifted the Gold Bowl Trophy. 🥇 📸 Alex Bertrand #ViennaVikings #PurpleReign
3
4
16
471
Introducing Muse, the personal agent that understands your goals and works 24/7 to get things done for you.
97
8,243
76
106,124
1,921,171
Replying to @sonofalli
how it feels to be 36 in tech
🤖 Made with AI
1
3
21
2,417
Only someone who has never raised a round could be surprised by this dynamic. Nobody wants to invest before there is a strong lead. And after there is, everyone wants to invest. Multiple tranches is simply the outcome of supply and demand. I think what @followthemani and @EricNewcomer misunderstand is that they presume there is some universally agreed upon price for any round and that somehow, the brand VC is getting a secret discount at the expense of everyone else. What it misses is just how unpopular a round can be, and just how close a round can be to failing, before there is a lead. @chetanp and @benchmark took a brave bet before it was obvious and derisked it for everyone else. All future investors were well aware of the round details and, so far, it turned out to be a great investment for all involved, as will be revealed next week!
When Starcloud, a space data center startup, announced in March that it had raised $170 million at a $1.1 billion valuation led by Benchmark and EQT, you had to read deeply into the press release to learn that the deal was done in two tranches, with the first part led solely by Benchmark. What it didn’t say: that first piece came at a valuation of $250 million, according to two sources familiar with the deal. Just days later, the second tranche, which also included a host of smaller investors, closed at more than four times the price. The Starcloud deal is an example of what investors say is becoming a common practice: prestige firms getting a significantly better price than other investors in what is essentially the same round. Proponents of such deals say they’re simply reflecting the market reality that some investor dollars are greener than others and it’s only logical for firms to cash in on that — especially in early-stage deals where an investor’s brand name can make a huge difference. But critics say such structures can be problematic, not least for employees. Brendan Foody, CEO of the AI-training startup Mercor, stirred the pot on the issue on X last month, writing: “in the last 6 mo’s ive seen a half dozen rounds where sequoia invests in 2 tranches. everyone pretends they only did the higher valuation,” and calling the tactic “deceptive.” Sequoia partner Shaun Maguire, in a reply, claimed the practice was rare. But Newcomer’s reporting suggests it’s increasingly common across the industry. @followthemani
37
17
10
379
123,628
Great collaboration with @NianticSpatial
Trained a humanoid entirely in a 3D scan of the office. Zero real-world fine-tuning. It just walked in and worked. RL needs hundreds of thousands of attempts, and real robots can't afford to crash. A misjudged gap or a glass door collision breaks hardware and costs hours resetting. So you train in a sim. But sim policies usually train on randomized, untextured geometry; depth is easy to fake. The robot learns structure, not the real world: no materials, no lighting, no idea what anything actually is. RGB cameras carry all of that but training RGB policies in generic fake worlds won’t generalize to the real world. @NianticSpatial Scaniverse reconstructs your scan of the real deployment site. One 360° camera walkthrough → photorealistic 3D Gaussian splat at metric scale → collision mesh pulled from the same reconstruction, so vision and physics match exactly. Drops straight into NVIDIA Isaac Sim/Lab, no manual conversion. @FlexionAI simulation-first approach then seamlessly enables the training of RGB-only nav policies inside that reconstruction. With added domain randomization + large image encoders for robustness, this deploys straight to hardware. No real-world fine-tuning. Deployment: months of on-site adaptation → days. Tune into the NVIDIA livestream on 12 August to hear how these companies are closing the sim2real gap: addevent.com/event/gvb8rkdrc… @NVIDIARobotics ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
3
18
2,025
Your body is more than one metric. Hume Band 2.0 combines sleep, stress, recovery, activity, heart health, biological age & AI coaching into one clear daily experience. 14-day battery. Built for real life.

47
73
4
780
4,712,293
yes, markets/risk management lessons to be learned, but many of the folks dunking on Leopold have never realized a dollar of returns. he has, and now he’s banked them. respect where due
54
35
9
678
59,142
Who is John Galt?
581
578
106
9,107
428,363
Introducing Sabbath: A modern app for an ancient practice. Shipping in July. Reply here for early access.
264
10
4
609
82,606
We work with dozens of YC companies and enterprise clients. There’s 1 massive shift I’ve noticed across 15M+ B2B sales teams globally. The old school sales team still relies on AEs and more SDRs while overpaying for outdated tools. The new school team hires RevOps or GTM engineers to support their team, obsess about processes, and consistently test out new tools. Specific changes I’m seeing with their tech stacks: • Data handling: Excel → Clay • CRM: Salesforce → HubSpot • TAM sourcing: ZoomInfo → DiscoLike • Call Recording: Manual Notes → Sybill • Dialer: RingCentral → Nooks • Website Signals: 6Sense → RB2B • Manuel Sequencer: Salesloft → Apollo • DM Campaigns: Sales Nav → HeyReach(.)io • Email campaigns: Mail Merge → Instantly(.)io • Global phone coverage: Cognism → BetterContact Anything I missed?
24
5
2
138
19,531
Lost for words 🇦🇺
11,891
24,064
3,286
238,935
5,703,066
our marketing corner is better than your marketing corner
1
4
149
Important foundation for democracy - go sign up if you're a CA resident.
ONE MILLION signatures—in just ninety days. But we aren’t done yet. Help us collect 200,000 more signatures by February 1st! Go to voteridinitiative.com to sign.
84
230
7
1,978
197,562
I don't think SaaS is dead. I think SaaS companies that don't lean hard into AI are dead.
68
20
8
319
21,014
2 of the best investors in the Bay Area retiring in the same week, wild stuff
Breaking News: Rep. Nancy Pelosi, the only female House speaker, said she would retire in 2027, ending a run as one of the most powerful women in U.S. politics. nyti.ms/3JJvGJX
41
46
3
1,044
132,672
I always knew it but now I’ve experienced it California is heaven on earth
40
26
1
615
22,366
dating founders is hard. really fking hard. you come home to a messy apartment, to someone who’s still glued to their laptop. you’re exhausted from your own job, but you pour what’s left of you into his dream. you hold space for their stress, and stay calm when it all feels too heavy. you rejoice in their success, and you support them in their lows. and you hold optimism for them when no one else can. this is the quiet resilience of a partner. but for all the sleepless nights, the tears, the chaos, you get a man who is ambitious, magnetic, and genuinely believes he can change the world. and somehow, that makes you believe it too. and if that's not the sexiest thing in the whole damn world, i don't know what is.
the hardest part about being a male founder.. in my experience is finding a girlfriend / partner that understands the short term gains that we are forgoing and the long-term optimization game that we are playing. most women expect to have most dates paid for, their vacations covered and their partner to have the time and emotional bandwidth to support them. somebody they see as a reliable provider. this is completely understandable. but as founders, every dollar saved is additional runway for the company. we budget down to the cent because our life’s work depends on it. every 100-hour work week slightly increases the odds of success. at this stage of life, we’re both cash-poor and time-poor — betting everything on the hope that one day, it all works out. that one day, we’ll be sitting on generational wealth — the kind most men only dream about. even for women who understand that they might be investing in their man long-term , it’s hard not to compare. their friends are dating guys with high-paying tech jobs, who work from 10 to 3 and can afford to give them a luxury experience now, not later. optimizing for the short term is human nature — it’s hard to fight against. to all the girlfriends out there dating early-stage founders — you’re the real ones. and to all my fellow founders: may you find your person while you still have nothing. Because that’s the only time you’ll know she’s with you for who you are, not what you have.
235
241
122
4,813
2,093,226
This is what your soul needs, not Dubai.
2,775
14,757
1,434
164,765
5,011,152
A company built on consensus can never outrun the one built on conviction.
20
11
2
134
8,033
Every founder I’ve seen chasing clout quits the moment it gets tough.
73
19
9
404
36,030