Hey PH! Ashish here, solo founder of DuskOS.

👋 Maker here — happy to answer anything, including the hard questions

Quick honest story: I'm a dropout who's tried and closed four startups before this one. Each one taught me something. This is the first one where I actually stuck around long enough to build something I'd trust with my own money — literally, since I'm the first user.

The problem I kept running into: every trading tool I tried was either a rigid bot that broke the moment the market changed, or a signal feed that still left me to make the actual emotional decision — the FOMO entry, the revenge trade after a loss, the "just one more candle" hold. Turns out that's not just me — 63-80% of retail traders lose money, and it's rarely because their analysis was wrong.

What I built instead: DuskOS is an autonomous execution layer — not a signal bot — where a swarm of specialist AI agents (research, technical analysis, risk, execution) studies the market, decides its own indicators, and only trades when a setup actually clears its bar. The part I'm proudest of isn't the winning trades. It's that it logs, in plain language, every time it decides not to trade — and why.

The honest bits, upfront, because I'd want to know these too:

• Currently running live paper trading (not live capital) across US stocks, Indian stocks, and crypto — full transparency, that badge is on the product itself

• No guaranteed returns, ever. Anyone promising that in this space, run.

• Non-custodial — connects to your own broker/exchange account, never touches your funds directly

• Real numbers from testing so far: 53-58% win rate, ~2R average — not a moonshot claim, just what's actually happening

Try it: 7-day trial for $1, no auto-charge after — you decide if you want to continue; we don't bank on you forgetting to cancel.

I'll be in the comments all day. Genuinely want to hear:

• What would make you trust (or not trust) an autonomous agent with your trading?

• What's the one feature that would make or break this for you?

• Tear into the pricing, the positioning, anything — I'd rather hear it here than after launch.