This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
NeuralFlex
AI trading, built to be measured, not to be believed
NeuralFlex is an AI trading system for US stocks and crypto, run in public. Its live account trades virtual money on an Alpaca paper account, and anyone can watch equity, drawdown and open positions update every 30 seconds. Members see every position and time-stamped fill. The research log says how many ideas failed: 1,865 tested, none passed validation. Simulations are clearly labelled. Built to be measured, not to be believed. Not investment advice.
Hi Product Hunt 👋 I'm Cristian, a solo founder from Romania.
NeuralFlex began on 15 September 2026 with the intention of capitalizing on the unique non-transformer AI architecture developed by its founder to create the best trading artificial intelligence possible.
We evaluated Zenith D through a chronological historical simulation covering January 2021 to September 2026. At every simulated decision point, the system processed the market as it existed then before making its next allocation decision.
What you can see:
• A live paper account (virtual money, Alpaca), with equity, drawdown and open positions updating every 30 seconds on the homepage
• Historical simulations: a 2021–2026 backtest turned $100k into ~$1.19M vs ~$219k for the S&P 500, and it fell 36% in eight weeks along the way. It's a backtest, clearly labelled, never traded
• A research log: 1,865 ideas and variants tested, none passed validation. The failures are part of the record
For members: every position, entry price and time-stamped fill, plus notifications when the journal updates. Founding price: €29/month for the first 50 members.
What it is not: it doesn't manage your money, place your orders or give investment advice. It's an honest, measurable record.
The live account started on 18 September, so it's early days, and that's the point: you get to watch whether it works. I'd love your feedback, especially on what would make a record like this more trustworthy to you. I'll be here all day answering questions.
About NeuralFlex on Product Hunt
“AI trading, built to be measured, not to be believed”
NeuralFlex was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. NeuralFlex is an AI trading system for US stocks and crypto, run in public. Its live account trades virtual money on an Alpaca paper account, and anyone can watch equity, drawdown and open positions update every 30 seconds. Members see every position and time-stamped fill. The research log says how many ideas failed: 1,865 tested, none passed validation. Simulations are clearly labelled. Built to be measured, not to be believed. Not investment advice.
On the analytics side, NeuralFlex competes within Fintech, Investing and Artificial Intelligence — topics that collectively have 554.2k followers on Product Hunt. The dashboard above tracks how NeuralFlex performed against the three products that launched closest to it on the same day.
Who hunted NeuralFlex?
NeuralFlex was hunted by Cristian Anuta (Eno). A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of NeuralFlex including community comment highlights and product details, visit the product overview.
Cristian Anuta (Eno)