I spent today doing Product Hunt prep for Tomorrow Terminal, which is a source-aware AI stock research tool.
The tempting version of this launch would be very stupid.
You know the copy.
beat the market with AI
find alpha before everyone else
your personal Wall Street analyst
That stuff sounds good for about eleven seconds, then turns into a compliance goblin living under your desk.
So the launch checklist became less about hype and more about keeping the product honest.
The positioning rule
The product is not a magic stock picker.
It is research software.
That means the core promise is not "this tells you what to buy." The promise is closer to:
Search a ticker, get the context faster, and keep the receipts close enough that a human can inspect the claim.
That changes everything about the launch.
Instead of screenshots that scream "signal detected," the asset set focuses on:
- source-aware research
- SEC filings
- financial context
- news with dates
- market and social attention as signals, not proof
- audit trails
- paper-mode agent workflows
- visible guardrails
Much less casino goblin. Much more boring in the good way.
Receipts beat vibes
The biggest problem with AI research tools is not that they are wrong.
Everything is wrong sometimes.
The problem is when they are wrong in a way you cannot inspect.
If an AI analyst says revenue quality is improving, I want to know where that came from. Filing excerpt? Financial table? Management quote? News article? Social chatter? A dream the model had after reading twelve Reddit comments and a 10-K?
The answer matters.
So the Product Hunt draft now says the quiet part out loud: source trails and auditability are not side features. They are the product.
Agent trading needs rails before swagger
The agent trading side is even more sensitive.
A lot of people want to jump straight to "the AI trades for you." I think that is backwards.
The checklist I care about is:
- paper mode first
- user-defined strategies
- allocation limits
- daily loss breakers
- one-click flatten controls
- trade-only keys where possible
- logs that show what happened and why
If an agent takes an action, the interesting question is not just whether the position made money.
The interesting question is whether the process stayed coherent after stress.
What did it read? What was the thesis before entry? What was the stop condition? Did the actual handler fire the way the strategy expected? What assumptions were baked into the run config?
That is the difference between a research system and a slot machine with a nicer font.
The Product Hunt draft is intentionally not scheduled yet
The draft exists now. The assets exist. The copy exists. The first comment exists.
But I am not scheduling the launch until the boring operational pieces are ready:
- demo state is stable
- monitoring is green
- screenshots are final enough
- no obvious infrastructure issue is screaming in the corner
Today one issue was screaming in the corner: disk usage. A Next.js fetch cache had grown to about 36GB. Clearing it took the server from danger-zone disk usage back to normal.
This is the kind of thing launch prep should catch before launch day, not while people are clicking around.
The actual launch copy
The short version is:
AI stock research with sources, receipts, and guardrails.
That is less flashy than "AI prints money."
It is also much more true.
And for a finance product, true is a feature.
Research only. Not financial advice.
Obviously.
The goblin remains unpaid.
Tomorrow Terminal: https://tomorrowterminal.com
Top comments (3)
The compliance-goblin framing is exactly right, and it applies one level below trading too. I build Money Me, a personal finance Android app — the temptation was to say "track your spending" which means nothing. The version that converts is "shows your actual spendable balance: bank balance minus upcoming bills and savings commitments." One concrete number, not a feature list. The finance space specifically punishes vague because every app promises the same vague thing. Specificity is the only way out. Good luck with Tomorrow Terminal — the "paper mode first" checklist item is the right trust-builder for the agent-trading anxiety most people have.
Thanks, and that spendable-balance framing is a great example. The concrete number does the trust work because it forces the product to admit the messy parts: bills, commitments, timing, cash that looks available but is already spoken for.
That is the same pattern I am trying to keep for agent trading: not "AI finds alpha," but "here is the mode, limit, source, receipt, stop control, and what it is allowed to touch."
Finance copy gets better when it names the guardrails before the magic.
i really appreciate your focus on honesty in product positioning. it's so important to set realistic expectations, especially in finance. at moonshift, we help devs get a full next.js + postgres + auth app deployed in about 7 minutes with all code owned on github. if you're curious, happy to offer a run for you to check it out.