Marat

All the best startup accelerators to apply in 2026: 1. Y Combinator ($500k for ~7%) 2. Sequoia Arc ($1M for ~10%) 3. a16z Speedrun ($500k for 10% + $500k guaranteed follow-on) 4. South Park Commons ($400k for 7% + $600k guaranteed follow-on) 5. NEO Residency ($750k uncapped SAFE, variable equity) 6. HF0 Residency ($1M uncapped SAFE for 5%) 7. Seedcamp ($350k–$1M, flexible terms) 8. Boost VC ($500k for 15%) 9. The Mint ($500k for 10%) 10. 500 Global ($150k for 6%) 11. PearX ($250k–$2M SAFE) 12. SOSV / HAX ($250k for ~7%) 13. Techstars ($220k for 5%+) 14. LAUNCH ($125k for 6%) 15. Antler US ($200k–$250k for 8–9%) 16. Founders Fellowship ($150k for 5–10%) 17. Founders, Inc. ($100k–$250k for 4–7%) 18. Antler Europe (€100k for 10% + stipend) 19. Entrepreneurs First (up to $250k for ~9%) 20. Conviction Embed ($150k uncapped MFN SAFE) 21. Afore Capital ($500k–$2M SAFE, flexible terms) 22. Soma Capital ($100k) 23. Berkeley SkyDeck ($200k) 24. gener8tor ($100k for 7.5%) 25. Heartfelt VC (up to €500k) 26. Forum Ventures ($100k for 7.5%) 27. Greylock Edge (custom SAFE + $500k+ in credits) 29. Betaworks AI Camp (up to $500k for 5% + uncapped SAFE) 29. Google for Startups (equity-free; up to $100k + $350k in cloud credits) 30. Entrepreneurs Roundtable Accelerator ($150k for 6% + $320k in credits) 31. Plug and Play Tech Center (equity-free; optional $100k–$150k SAFE) 32. Startup Wise Guys (up to €65k for equity + up to €300k follow-on) 33. HSG START Accelerator (CHF 200k for 4–10%) 34. Alchemist Accelerator (~$30k SAFE for ~5%) 35. Bethnal Green Ventures (£60,000 for 7%)

Fireplace is happy to announce that we've raised $1.5M to build the smartest trading terminal for prediction markets. 🧵

I'm claiming my AI agent "Jessy369" on @moltbook 🦞 Verification: rocky-4J2H

Not doing resolutions this year. My Anti-resolution plan for 2026 in Charlie Munger style: Stay in my circle of competence – Admit fast when I don’t know – Say “no” a lot more – Avoid drama‑driven people and projects. -Less noise, fewer errors, better compounding

11 Predictions for 2026 Every year I make a list of predictions & score last year’s predictions. 2025 was a good year : I scored 7.85 out of 10. Here are my predictions for 2026 : 1. Businesses pay more for AI agents than people for the first time. This has already happened with consumers. Waymo rides cost 31% more than Uber on average, yet demand keeps growing. 1 Riders prefer the safety & reliability of autonomous vehicles. For rote business tasks, agents will command a similar premium as companies factor in onboarding, recruiting, training, & management costs. 2. 2026 becomes a record year for liquidity. SpaceX, OpenAI, Anthropic, Stripe, & Databricks IPO, with SpaceX & OpenAI ranking among the ten largest offerings ever. The pent-up demand from 4+ years of drought finally breaks. Fear of disruption by fast-growing AI systems drives defensive acquisitions exceeding $25b as incumbents buy rather than build. 3. Vector databases resurge as essential infrastructure in the AI stack. Multimodal models & world/state-space models demand new data architectures. Vector databases grow revenue explosively as they become the connective tissue between foundation models & enterprise data. 4. AI models execute tasks autonomously for longer than a workday. According to METR, AI task duration doubles every 7 months. 2 Current frontier models reliably complete tasks taking people about an hour. Extrapolating this trend, by late 2026, AI agents will autonomously execute 8+ hour workstreams, fundamentally changing how companies staff projects. 5. AI budgets receive scrutiny for the first time. Buying committees & boards push back on AI spend. Small language models & open-source alternatives rise in popularity as research labs determine how to specialize them for particular tasks, achieving state-of-the-art performance at a fraction of the cost. Developers prefer them for 10x cost reductions. 6. Google distances itself from competitors via breadth in AI. No other company achieves breakthroughs across as many domains : frontier models, on-device inference, video generation, open-source weights, & search integration. Google sets the pace, forcing OpenAI, Anthropic, & xAI to specialize in response. The era of every lab competing on every frontier ends. 7. Agent observability becomes the most competitive layer of the inference stack. Engineering observability, security observability, & data observability fuse into a single discipline. Agents require unified visibility across code execution, threat detection, & data lineage. This marks the beginning of the confluence I predicted in 2025 : the three observability spaces finally converge. 8. 30% of international payments are issued via stablecoin by December. The efficiency gains in cross-border settlement are too large to ignore. As regulatory clarity improves in major markets, stablecoins move from the periphery of crypto to the core of global trade finance, displacing traditional SWIFT rails for a significant portion of B2B volume. 9. Agent data access patterns stress & break existing databases. Agents issue at least an order of magnitude more queries to databases & data lakes than people ever did. This surge in concurrency & throughput requirements forces a redesign of the overall architecture for both transactional & analytical databases to handle the relentless demand of autonomous systems. 10. The data center buildout reaches 3.5% of US GDP in 2026. The scale of investment mirrors the historical expansion of the railroads. The only factor that slows overall building is perceived risk within the credit market, particularly in the private credit market. The massive growth in that asset class suddenly shows strains of increasing default rates, creating a potential bottleneck for the most capital-intensive infrastructure projects. 11. The web flips to agent-first design. Most developer documentation & many websites become agent-first rather than people-first. This shift occurs because many purchasing decisions are now informed first through agentic research. Consequently, the front door needs to be designed for robots, while the side door caters to people.

26 PREDICTIONS FOR 2026 From Bitcoin to DeFi, Layer 1 and Layer 2 blockchains, Artificial Intelligence, and much more The Galaxy Research team is back with predictions for the year ahead (and also an assessment of our predictions last year) 👇

New podcast on recruiting (full episode). Links below. Curate People 0:00 The Best Only Want to Work With the Best 3:49 You'll Never Be Able to Hire Anybody Better Than You 6:45 Break Every Rule to Get the Best People 10:19 It Just Takes a Small Group of People to Create Something Great 14:56 Find Undiscovered Talent Before Everyone Else 19:04 Great People Have Taste in Other People 21:24 Every Great Engineer Is Also an Artist 25:34 Early Teams Look Like Cults 27:59 You Can’t Make a Product that is Simple Enough 30:37 The Founder’s Personality Is the Company 34:45 Good Teams Throw Away Far More Product Than They Keep 38:41 All New Information Starts as Misinformation 40:47 Geniuses Only 44:24 Practice Your Craft At the Edge of Your Capability 49:14 Curate People

@naman_307 @NodeOpsHQ @BuildOnNodeOps NodeOps delivers—real revenue, real partnerships, and technical innovation that moves Web3 forward. Impressed by the team’s execution and Naman’s vision. Onward!

🚀 2 Years of Relentless Building. Wishing NodeOps Family a happy 2-year anniversary From a 72-hour prototype to one of the fastest-growing AI Cloud networks — 90K+ nodes, 700K+ users, $160M+ AUM, and a 25-member team obsessed with one thing: execution. Year 1 - Proof of Concept Year 2 - Proof of Build Year 3 - Proof of Scale This is our journey, our conviction, and the road ahead. Read the full Two-Year Note below 👇 🔗 nodeops.network/two-year-note

@Zephyr_hg News

I never run out of content to post anymore. Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically. It finds trending topics in my niche before they explode everywhere else. Saves me 15-20 hours monthly and keeps me ahead of every trend. Comment "NEWS" and I'll DM it to you (must be following)

New episode: "How Elon Works" This episode covers the insanely valuable company-building principles of Elon Musk A few notes from the episode: 1. The mission comes first. 2. Retreat is not an option. 3. A maniacal sense of urgency is our operating principle. 4. Product design should be driven by engineers. 5. You should not separate engineering from product design. 6. Having separate design and production departments is bullshit. Keep everything together and feedback immediate. 7. The leader should be on the front lines. You should be a battlefield general. 8. "If they see the general out on the battlefield, the troops are going to be motivated. Wherever Napoleon was, that's where his armies would do best." 9. Apply The Algorithm constantly. (1) Question every requirement. (2) Delete any part of the process you can. (3) Simplify and optimize. (4) Accelerate cycle time. (5) Automate. 10. Repetition is persuasive. "I became a broken record on the algorithm. I think it's helpful to say it to an annoying degree." 11. You should go ultra-hardcore on deletion and simplification. 12. Camaraderie is dangerous. It makes it hard for people to challenge each other’s work. (Refer to point #1) 13. Never ask your troops to do something you wouldn’t do. 14. Hire for attitude. Skills can be taught. Attitude changes require a brain transplant. 15. Good attitude = A desire to work maniacally hard. 16. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation. 17. Keep your entire company committed to a common goal. 18. If things aren’t going well, throw away the existing design, start from first principles, question every requirement based on fundamental physics. 19. Find the limit. You want to delete as much as possible and you can’t do that unless you find the limit. 20. If you aren’t adding back at least 10% of the things you deleted, then you didn’t delete enough. 21. Maintain control. Avoid joint ventures. Eliminate middlemen. 22. Have a relentless dedication to questioning every requirement. 23. No work about work, just work. 24. Go to the problem. Get on the plane. Fly to the source. Go to the exact location in the factory. Go to the problem and stay there until it's resolved. 25. The best part is no part. 26. Be wired for war. 27. Do not fear losing. It hurts the first 50 times but then you’ll be able to play with less emotion. You will take more risks. 28. Stay heads down focused on doing useful things for civilization. 29. When something is important and has to be done quickly, have meetings every 24 hours to run the algorithm and check on the previous days progress. You'll be shocked at how fast this speeds things up. 30. Life needs to be interesting and edgy. 31. Delete, delete, delete, delete. There are 100 more ideas in the episode. I hope you listen to it. 30 years of Elon’s career + 60 hours of reading and research and me just absolutely ripping through idea after idea at 2x speed for 90 minutes. It will be hard to find a better use of time.

@cosmos @spext_it

Cosmos Townhall - July - With Interchain Labs! x.com/i/broadcasts/1…

Progress isn’t always loud. Some of the biggest breakthroughs—whether in AI or your own career—happen quietly, behind the scenes. Keep learning, building, and showing up. Today’s small, unseen efforts are tomorrow’s big reveal. #MotivationMonday #KeepGoing

How to double ARR every 2 months. Cursor reached $500M ARR in just 30 months 🤯 bit.ly/45Tfa2P

Letting go of expectations paves the quickest path to excellence

The Senate has just approved a groundbreaking stablecoin bill. The US is moving forward with a programmable, on-chain, fully-backed digital cash. America is set to lead the world into the crypto era.

Founder Stories Thursdays: Paul Copplestone simplified Supabase's backend by open-sourcing real-time Postgres features, capturing developers' attention. Issues? Complex setups, vendor lock-in, wasted infrastructure time. Supabase expanded from 8 to 800 databases in 3 days!

Low retention is a hidden growth barrier. Despite 50,000 monthly App downloads and a 4.7-star rating, poor retention (Day 1: 40%, Day 7: 15%, Day 30: 3%) highlights a major issue. Achieving sustainable retention over 20% monthly is vital. How are you enhancing retention?

Exit Fridays: Slack's Bold $19.5B Direct Listing in 2019 redefined IPOs by skipping traditional roadshows for a NYSE direct listing. Shares opened 48.5% above the reference price. This allowed immediate cash outs with no lock-up, saving $63M in fees compared to Snap’s IPO.

How Cursor, Hit $100M ARR in Under 2 Years. The team started with a niche idea (an IDE for heavy machinery mechanics) that didn’t take off. They quickly pivoted to solve their own problem—building an AI-powered IDE for devs. Sometimes the best opportunities come from within.