Two things early founders often get wrong, and should remember: 1) Building culture can feel like it's just fluff at the start. Until you start to raise capital or hire teams, and then you see how it shapes everything you do moving forward. 2) You should build a team so talented that it makes you slightly uncomfortable to be with them, because you know you are going to have to raise your game to keep up.

Writing code used to take years of training. AI didn't replace engineers. It removed the barrier — and made the professionals dramatically faster. Running a systematic strategy still takes a quant desk. Very soon, trading without an agent will look like coding without one.

The hard part of vertical AI isn't the model. It's grading it. In law or medicine, "was that answer any good?" is subjective, slow, and expensive to evaluate. In trading though, the market grades every decision — in dollars, within hours. Every @senpi_ai trade is a labeled training example, scored in dollars gained, or leaked. That flywheel is humming and will soon be unstoppable

Two of the biggest VC wins of the year were complete pivots (cursor pivoting from AI CAD and Hugging Face pivoting from a consumer chatbot) For founders, this is a great lesson to never give up till the money is gone

The system on the other side of your trade was built by a quant desk. It expresses every trade as code. It runs whether or not anyone is awake. Its risk is enforced by dedicated systems, not willpower. Most retail traders though just have a chart and an opinion. @Senpi_ai closes that gap by arming every Hyperliquid trader with Cursor for Trading — a complete AI harness that codes hedge-fund-rivaling strategies in minutes and executes them with precision and risk management. Roll your own: describe it in plain English and your agent writes the package, validates it against live market data, and ships it. Or jump ahead and fork a template. 5 new templates today, built from the top user prompts — bringing the catalog to 107. Each is a complete runtime, not a signal feed: its own scan cadence, maker-first entry, a profit ladder that only ever ratchets up — it will never trail you into a loss, that's what the stop is for — and portfolio guard rails on top: daily loss limit, consecutive-loss brake, drawdown halt. swift — fee-aware scalper. Won't take a trade unless the expected move clears the round trip. oryx — intraday breakout across stocks, metals and commodities. 24/7. puffer — volatility squeeze. Measures compression against the asset's own baseline, not a fixed threshold. weaver — range harvester. Fades the edges, and stands down when a trend-efficiency test says the range is actually breaking. pilotfish — smart-money accumulation. Follows proven wallets while they're still building — dollar-weighted, and discounted when the sample behind the read is thin. All open source MIT license. Fork one, or ask for something that doesn't exist yet. Writing trading strategies used to take a quant desk. Now you just ask.

Most copytrading is dumb. It sees a trade and copies the trade. AI can be smarter than that. If the trader you follow adds capital, withdraws, or changes the size of their book, Senpi understands that the meaning of their position changed too — and adjusts your exposure accordingly. It doesn’t just copy the ticket. It tries to preserve the trader’s actual intent, translated to your portfolio and your risk limits. That’s the difference between copytrading and having an AI trading agent. New piece on how we built it ↓

At Senpi we're building Cursor for Trading. Coding used to take a decade of training. Then it didn't. 🙏 Cursor, Claude, Codex. Running a systematic trading book took a quant desk and $500k/year engineers. Not anymore, with @senpi_ai

Copytrading on Hyperliquid, done properly. Senpi vets who is actually worth mirroring, sizes every position to your account instead of theirs, and keeps protection on around the clock. You set the budget. You approve the plan. Your agent runs it 🥷

Did you know you can access @senpi_ai for as low as $25/month? That gives you one app where you can: - Generate trade signals - Build custom trading strategies - Automate execution - Monitor active positions - Access multiple AI models - Earn points that can reduce trading fees Basically, instead of juggling between research tools, signal groups, bots and dashboards, Senpi is bundling the whole trading workflow into one place. And if you need more firepower, the higher plans come with bigger AI credit allocations and better points multipliers. For $25/month, this is a pretty low barrier to start testing what an AI-native trading stack can actually do. If you trade actively and still do everything manually, this is worth exploring.