A quality filter for the sectors you care about — AI, energy, space and agritech. It grades each company on how good the business is and whether the price is sane, then flags the traps. It does the reading so you can make the call.
The idea: buying a stock is like buying a share of a lemonade stand. Before you hand over money you ask two things — is it a good stand? (a growing, well-run business) and am I overpaying? (is the price already assuming greatness). This tool asks both for you, on every company in your sectors.
The catch nobody escapes: the price already reflects everyone's expectations. You don't make money because a company grows — you make money when it grows more than the price already assumes. No screen can see that gap in advance, so this tool doesn't pretend to. What it can do is strip out the obviously weak and obviously overpriced, and wave a flag at the classic traps — illiquid microcaps, cash-burners, parabolic runs, heavy dilution.
What you get: each name gets a Quality read (the business), a Value read (the price), and a list of risk flags. Tap any card to see the full breakdown with a plain reason for every score. The job is to take you from 500 names to a handful worth an hour of real homework — the judgement, and the money, stay yours.
What the evidence says this can (and can't) do: every rule here is grounded in published research — profitability on assets (Novy-Marx), heavy share issuance (Fama–French), cash-runway hazard, distress avoidance, and lottery-spike froth. Historically, screens like this shift the odds by cutting the catastrophic losers — the cash-burning serial diluters and distressed shells — which is worth roughly a 5–15 point improvement in the share of names that go on to perform decently. What no screen can do: pick the rare mega-winners that drive index returns, or see expectations the price hasn't already priced in. Most individual stocks still lose to the index even after filtering — that's why the satellite-sleeve framing below matters.
Every scary term is just a lemonade-stand question. Here's the decoder.