SimonDelphiSearch @SiDelphiSearch

HIRING! Founding Backend Platform Engineer Remote for a Trading app - Rust - Crypto/Perps/Tokenized assets, with a social layer. Founders hit PMF before and will this time too! Own the data side: * 3rd-party market-data APIs - ingesting to one reliable BE * In-house Solana + EVM indexing * WebSocket fanout at scale for live prices * High-perf Postgres + AWS caching through traffic spikes Stack: Rust (preferred) or Go · Solana/EVM indexing · Postgres · AWS · WebSockets · TypeScript/Node Base ideally to USD300k (superstars more) + profit share + equity. We're looking for experts in DEX / CEX/ Trading / Indexing backends - DM me.

Hey candidates! Ever had 5 different recruiters approach on the same role? At first, flattering, then 3rd, 4th, 5th messages arrive, and you start thinking: "Wtf? Why can’t this company hire?” What's happening? Usually, the hiring co has given the same search to several recruitment firms at once. Thinking more recruiters means better market coverage. But, the recruiters soon know that they're being set off against each other. They're being gamed. Like 5 accounting firms given the annual accounts to complete and only the first one to finish gets paid. One winner. And 4 agencies each did 50+ hours work for zero. So, they downgrade the search and fire up their AI bots, and blast away, to be first. Then, turn back to their serious clients, who gave them the exclusive search. More recruiters creates more noise. So, next time 5 recruiters hit you with similar AI approaches for the same role, don’t assume you’re suddenly the most wanted person in the market. You're dealing with a hiring co that’s created an incentive for recruiters to race to the bottom. 30+others got five identical AI-approaches too.

Hiring: Backend Rust/Tokio in Perps/Predictions/crypto trading infra (SoHo, NYC) Onsite. What you’d work on: + Risk / liquidation + Blockchain state machines + Venue integrations + Streaming REST / WebSocket APIs All behind a live trading UI Product: one interface across perps, cross-chain spot, and prediction markets (using one portfolio margin). Seed-backed, serious trading pedigree. Production Rust (Tokio) + markets DNA preferred. Base to~$300k++. DM me if you’re in NYC / open to SoHo.

Hiring: Founding Mobile Engineer (React Native) - Crypto/Perps trading app, Remote Building a high-perf, low-latency mobile app for serious crypto traders. Self-funded founding team who've scaled a DEX to $6M+ ARR with a small crew. This is the first dedicated mobile/FE hire. You’ll own the RN app E2E: architecture, 0→1 app store and Android, trading UX, production reliability. Designs are largely done; the production frontend is yours to build right. Looking for: • Strong React Native+TypeScript (3+yrs RN; SWE~5–12 YOE) • Real 0→1 ownership on a brokerage, wallet, or mobile crypto trading product • Bias to ship in a scrappy founding environment • Comfy overlapping Americas/Western Europe hours (EST ideal) Stack flavour: Expo, Reanimated, Skia, Privy/viem/Solana/Hyperliquid-adjacent Comp: US$225–350k base+ cash bonuses+founders equity If you’ve shipped RN that traders use (or built a RN consumer app to 500m users from scratch), DM me.

The biggest opportunities right now: 1. build for solving loneliness (the more AI floods everything, the more people crave real human connection, IRL and small social) 2. build for agents that need to spend money (they're getting virtual cards and budgets, someone builds the spend controls, fraud protection, receipts) 3. build for people drowning in AI output (everyone generates infinite drafts now, the bottleneck moved to reviewing and choosing, build the judgment layer) 4. build for the burnout economy (everyone is expected to always be on and always optimizing, and the backlash toward rest, slowness, and enough is building) 5. build for verifying humans (deepfakes broke trust, every dating app, marketplace, and video call needs proof-of-human within 2 years) 6. build for the physical world (the trades, hardware, robots that AI is finally reaching) 7. build for the agent that answers the phone (every local business misses calls after 5pm, a voice agent that books the job is worth thousands a month) 8. build for the aging (70M+ boomers who want to stay healthy, sharp, and connected) 9. build for the LLM-search land grab (being the cited answer is the new SEO) 10. build for the newly automated (the paralegal, the analyst, the marketer whose job just changed and needs to reskill fast) 11. build for the seat-pricing collapse (software repricing from $50/seat to per-outcome, whoever nails outcome billing wins a category) 12. build for AI enablement (95% of businesses use nothing beyond ChatGPT, someone has to onboard the other 95%) 13. build for the agency everyone resents (businesses pay $1k/mo to agencies they hate, an agent that does 80% of it undercuts the model) 14. build for verticals on 2011 software (dentists, HOAs, contractors, all overdue for an AI-native rebuild) 15. build for reviving dead software (thousands of abandoned apps with real users, agents can maintain what a team couldn't, buy and revive) 16. build for markets too small to matter before (500 lobster fishermen was never worth a team, now it's a weekend and a real business) 17. build for agents hiring agents (a shadow economy is forming, it needs escrow, reputation, and dispute resolution for machines) 18. build for the anti-AI premium (as everything gets generated, human-made and analog become status symbols people pay up for) 19. build for distribution-first (anyone can build the product now, so the audience is the moat, media company first, product second) 20. build for the reinvention of college (what does an MBA even mean anymore) 21. build for a world with more free time than it knows what to do with (if AI takes the busywork, the question becomes what people do with the hours, and that's a civilization sized market) note: more trends/ideas @ideabrowser (free to sign up) 22. build for the return to the physical (screens fill with slop, people crave the real world, the hands-on, the local, the analog) 23. build for the caregiving wave. The population is aging fast, tens of millions are caring for parents, and the whole burden is landing on families with no support. 24. build for the longevity shift (people want to live to 100 healthy, and a whole industry is forming around actively managing your own biology) 25. build for the housing and rootlessness problem (people can't afford to settle down, and the whole idea of a stable home base is up for grabs) 26. build for spiritual hunger (as institutions hollow out, the need for meaning, ritual, and belonging is exploding into new forms) KEEP BUILDING

@AlfieJCarter MCP

@LoganTGott OUTBOUND

I just got back from SF and I FEEL INSPIRED. I spent 5 days with frontier AI model teams, AI startup founders, and 3 billionaires. My takeaways: 1. I had lunch with 3 billionaires. All of them are buying SaaS companies and rebuilding them agent-first. They were deeply inspired by Bending Spoons and Ryan Cohen's eBay deal. Buy the company, cut the headcount, rebuild the tech, add agents, add features, make more valuable experience, raise prices. 2. The frontier model companies are hungry for usage data from the field. They can see API calls and token counts. They can't see the actual workflows. If you're deep in a niche using these models in ways the model companies haven't seen, that understanding is incredibly valuable. Usage intelligence is the new alpha. 3. Consumer AI is massively underbuilt. Every billboard in SF is either B2B inference infrastructure or vertical agent companies. The entire city is optimized for enterprise. Meanwhile you have companies like Cal AI doing $50M ARR in 18 months as a consumer app. I met with a cool few teams doing consumer AI (@paulscherer / @ekuyda) 4. MCP came up in literally every conversation. The companies exposing their product as MCP endpoints are getting pulled into deals they never pitched for. The ones that aren't are becoming invisible to agents. This is the new SEO. If agents can't find you, you don't exist. Building products for agents is the new zeitgeist in general. 5. Not uncommon for hot seed rounds to be $25-50 million valuations. I saw a Series A at $450 million 6. If I had a dollar every time someone mentioned "forward-deployed engineer" this trip I could have funded a seed round. It's the hottest role in SF right now. The person who sits between the agent and the customer, making sure everything actually works. 7. The mood around open source shifted. A year ago it felt like open source was chasing the frontier models. Now founders are telling me Gemma and DeepSeek are good enough for 80% of what they need at a fraction of the cost. The "which model do you use" conversation is being replaced by "which model for which task." Model loyalty kinda feels dead. 8. Voice agents came up more than I expected. Multiple founders told me voice is the interface for the next billion users. The billion people who will never type a prompt will absolutely talk to one. 9. The Obsidian community in SF is weirdly intense. Multiple founders showed me their vaults unprompted. Like showing someone your home gym. It's a flex now. The quality of your knowledge base (second brain?) is becoming a status symbol among builders. 10. Maybe it was just the people I met but the age of the founders is shifting. I met more founders over 40 this trip than any trip before and more founders under age 21 than ever before. Founders getting older and younger at the same time. 11. I spoke to a lot of fast-growing startups, VCs and frontier models who are hiring content creators right now. 12. The restaurant scene in SF is actually better than it's been in years. Founders are going out more. Alcohol is out, not surprisingly. 13. SF doesn't feel like the only place anymore. We all have access to the same frontier models. We all read the same X feed. A founder in NYC or Lagos is calling the same APIs as a founder in SoMa. So in the past it felt like SF was always lightyears ahead, doesn't feel that way anymore. It's okay not to live in SF and have BIG DREAMS. 14. The coworking spaces in SF are half empty but the coffee shops are packed. People want to be around people. I had a few startup ideas here.... 15. Walking around the Mission I noticed something: the street-level businesses, the taquerias, the barbershops, the laundromats, none of them use any AI at all. 16. I heard the phrase "agent debt" for the first time. Like technical debt but for agents. When you hack together an agent workflow fast and never clean it up, the system prompts conflict, the memory gets polluted, the tools overlap. 6 months later the agent is doing weird things and nobody knows why lol. 17. Met a few people who carry two phones now. One for personal. One that's basically an agent terminal running Telegram or iMessage connections to their agent fleet. It's always amazing to get that dose of inspiration in SF. I FEEL INSPIRED. But I'm so happy to be back home, locked in and building. We're 12-18 months into a shift that will take 15 years to play out. The urgency in every conversation was real. What an incredible time to be building.

@LoganTGott SYSTEM

If you died tomorrow your family could not access a single thing you own digitally. Bank accounts. Crypto. Passwords. Cloud storage. All of it locked permanently. Here is how to fix that in 30 minutes:

You were taught crypto very poorly. Public blockchains are global supercomputers. Anyone anywhere in the world can run a program on them and anyone in the world can use the program. Bitcoin supercomputer only runs the Bitcoin ledger. Solana supercomputer can run any Rust program. SUI supercomputer can run any Move program. Ethereum supercomputer can run any Solidity program. The supercomputers are constructed as a distributed set of nodes all around the world and are connected via physical networks to act as one. To stop the supercomputer you have to stop all the nodes all around the world. To run programs on the supercomputers requires gas tokens or "native" tokens to the particular supercomputer. To use the programs the user requires these tokens. These tokens are public and can be used as currency on the supercomputers. Examples of "native execution network" tokens are $BTC, $SOL, $SUI, $ETH. Note: No different from running a AI LLM supercomputers which also requires tokens to run but LLM tokens are not yet tradable or public and represent one word of a AI query. Bitcoin does not have the ability to run arbitrary programs, it only runs the Bitcoin ledger. This means it is not an "execution network". An "execution network" can run arbitrary programs that represent functionality or other token ledgers. Solana, SUI and Ethereum are examples of "execution networks" and are typically called Layer 1 execution networks because they can execute user programs. Now understand all other "tokens" or "crypto" are just programs running on one of these "execution network" supercomputers. StableCoin like USDC or USDT are just programs running on each of the supercomputers. Defi applications and DEX's are just programs running on the supercomputers. Meme coins are just programs running on an "execution network". Anyone can run a program and anyone can use the program. Now you can imagine how these global supercomputers that store and run programs will be used by everyone, institutions and governments will run everything on them and an entire agentic infrastructure will use them. Start to learn what crypto really is. Understand you were PURPOSEFULLY taught it incorrectly. You were the early testers of the supercomputers. Everything we see in crypto today can be thought of as a test. Together with AI these supercomputers will run the world.

Or could be phototropism, trees growing in direction of prevailing light source, due to low sun in winter skies in eg south of South Island of New Zealand. Also, same tree types on the plain aren’t blowing. Maybe a hill obscuring regular sun just to left of picture? Common sight.

@HealthRanger No logic error if this in south of South Island of New Zealand where trees grow towards the light source.

You didn’t “fail” the final round. You lost the comparison. After 20+ years as a headhunter, I can tell you most hiring decisions aren’t about you in isolation. They’re about how you stack up against the other 2-3 in the final round. You might be strong, likeable, capable, a great culture fit. But if someone else has already done the role at a peer-or-better rival, needs almost no onboarding, or just somehow feels “safer”… They look like less risk. They get the offer. Final discussions often sound like: “Out of these solid candidates, who is the safest bet?” So, you can do everything right and still miss out. Don't think “What did I do wrong?” You don’t have enough information to answer that properly - and you’ll rarely be told the real reason anyway. Was it timeline to becoming productive? Perceived flight risk? Stronger brand on the CV (covering the hiring manager if it doesn’t work out)? Hiring isn’t purely on merit. It’s often risk management. So don’t beat yourself up. It isn’t personal. Move on.

Went down the rabbit hole on this one. The answer is actually wild. 5,000 years ago, Sumerian merchants in modern-day Iraq needed a number that's easy to divide. They picked 60. It has 12 divisors (1, 2, 3, 4, 5, 6, 10, 12, 15, 20, 30, 60). Base-10 only has four. That's 3x as many ways to split something evenly, which matters when you're dividing grain and wages and can't handle repeating decimals. The counting method is the best part. They used their thumb as a pointer on the three bone segments of each finger. Four fingers, three segments, that's 12 per hand. Track multiples of 12, on the other hand, and you hit 60. No pen needed. Merchants in parts of Asia still count this way today. The system spread from Sumer to the Babylonians, then eastward to Persia, India, and China, and westward to Egypt and Rome. By 1800 BC, Babylonian students were using base-60 to calculate the square root of 2 to six decimal places on clay tablets. One student's homework from 4,000 years ago, now at Yale, holds the most accurate computation found anywhere in the ancient world. The Greeks adopted it for astronomy, which locked it into navigation, cartography, and eventually clocks in the 14th century. People have tried to kill it. During the French Revolution in 1793, France mandated decimal time: 10 hours per day, 100 minutes per hour, 100 seconds per minute. New clocks, new laws, the whole thing. Lasted 17 months. Workers hated getting one day off every ten days instead of one every seven. They tried again in 1897. Scrapped by 1900. The metric system replaced feet and pounds across most of the world. But 60 minutes in an hour? Untouchable. 60 is just too good at being divided. You can split an hour into halves, thirds, quarters, fifths, sixths, tenths, twelfths, or twentieths and land on a whole number every time. Try that with 100, and you get ugly decimals for thirds, sixths, and most common splits. 5,000 years of civilizations looked at that math and came to the same conclusion: 60 wins.

Yunie ૮ ․ ․ ྀིა @ppleinthedark

8 months ago

I googled why one hour is 60 minutes and one minute is 60 seconds and the answer wasn’t even that exciting

157 497 54K 4.3M 3K

Prague Astronomical Clock ⏳✨ Installed In 1410. Still Running Today. It Measures Babylonian Time And Old Bohemian Time 🕰️ And Displays The Movements Of The Sun, Moon & Zodiac ☀️🌙♈ One Of The Oldest Astronomical Clocks On Earth And The Oldest Still In Operation. No Spinning Globe Needed. Just Cycles, Geometry, And A Fixed Plane. 👁️⚙️ Ancient Timekeeping Was Precise. And It Tells A Different Story Than We Were Taught.

HIRING!  Urgent hires for Jan-Feb start: * CFO - AI Private Compute US$250-300k base + tokens * Commercial Director for Crypto Events $200k * Tokenization Head - RWA, focus on Real Estate for Dubai-base - substantial * Forward Deployed Engineers - for assessing AI and Blockchain needs for client companies to US$220k Base + equity + bonus * Rust Engineer for Solana infra - EST hours $240k + bonus + equity * Rust APIs expert - US/CAN/Western Europe $220k perm Contractor * Perps DEX SWE - AMM and liquidation engineer expert for Austin TX  $200k + equity * Cryptographer - has shipped privacy features  $280k + tokens * Avalanche-experienced Protocol Lead to build private blockchains $350k + equity * Golang expert for Stablecoin infra $250k - US + bonus + equity * Product Design roles in SF and NYC - AI startups * Lead Blockchain Data Engineer: Build the multi-chain data infra from scratch; petabyte-scale pipelines. * Lead Onchain Quant Researcher: Turn raw onchain data into indicators, patterns, and classification heuristics. * Lead Data Scientist (ML): Build production ML for clustering, classification, and anomaly detection across 300M addresses. * Lead Quant Analyst (Market Data): Build signals from order flow + order books; fuse with onchain data. Lead Crypto Markets Analyst: Lead research & forecasting; run the market analysis function and output. Only considering candidates with a verifiable track record in top-tier names - DM me with your LinkedIn and brief deal/build highlights.

@HavenXHV Hi there, if any Haven cryptographers didn't land a role, I have a Co-Founder role with a new project - seeking a Head of Cryptography - AI Agent focused. Pls DM me.

Hiring: Head of Cryptography & Co-Founder - ZK-Proofs for Autonomous Agents Problem: Enterprises are rolling out autonomous agents everywhere… and the attack surface is exploding. Right now, most companies only “monitor” agent behavior after something goes wrong. Mission: My client is creating a scalable trust layer that verifies who an agent is and what it intends to do - at the dev, enterprise, and infra levels. The mission is simple: make multi-agent commerce safe, transparent, and scalable. We’re thus seeking a Head of Cryptography & Co-Founder who can turn this from prototype to production. What you’ll do: • Assess our current prototype across architecture, data flow, threat model, and business priorities • Define cryptographic boundaries: what must be encrypted, authenticated, key-managed • Separate performance-critical vs trust-critical components • Design and implement core primitives and protocols • Integrate cryptography with agents that currently lack standards • Establish key management, access control, and secure data handling Location; Remote, but you must be based in US or Canada If you fit the bill, DM me.

HIRING! Offensive Security Engineer - Web3 penetration testing and Bug Bounty program management. US Remote role with top US CEX See my post on LinkedIn