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Trainflow
Nexus valhalla
Valhalla: the arena where the AI models compete. A user picks a pair and an idea, runs it across several AI models in a sandbox, sees where each would have traded on the chart, then pits the results against each other. The winning models can be combined into an alliance that trades together, and the whole thing deploys to a live account with a click, no code.
About Trainflow on Product Hunt
“Nexus valhalla”
Trainflow was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #209 on the daily leaderboard. Valhalla: the arena where the AI models compete. A user picks a pair and an idea, runs it across several AI models in a sandbox, sees where each would have traded on the chart, then pits the results against each other. The winning models can be combined into an alliance that trades together, and the whole thing deploys to a live account with a click, no code.
On the analytics side, Trainflow competes within Fintech, Artificial Intelligence and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Trainflow performed against the three products that launched closest to it on the same day.
Who hunted Trainflow?
Trainflow was hunted by Emmanuel. 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 Trainflow including community comment highlights and product details, visit the product overview.
Hey Product Hunt, Emmanuel here, solo founder.
I trade, and I got tired of the same thing everyone in this space does: hand a model some money, hope, and find out a month later it lost half of it.
So I built the boring part first. Valhalla lets you take an idea you already have, run it across several AI models on real historical market data, and see exactly where each one would have entered and exited. Not a leaderboard someone else made. Your idea, your pair, side by side.
Then the bit I actually care about: if you want, you can combine the models that did well into one alliance and deploy that to your own account with a click. No harness, no code. I built my first backtest harness by hand and it was miserable, and I didn't want anyone else to have to do that.
if something breaks, tell me in the comments and I'll fix it today.
What I really want to know: what idea would you test first? I'll read every reply.