Shelfware Labs
$ ./shelfware --scan-for-edges

shelfware_labs

// mostly dead, occasionally useful.

Field notes from an exhaustive, rigorous, and completely unsuccessful hunt for an edge on prediction markets. Every idea in here works. None of them makes money. You're welcome to all of it.

SHELVEDcause: efficiency
the shelfware index — cumulative, honest, unflattering
EDGE_LEDGER// every total is real
strategies_analyzed0
kalshi_events_scanned0
markets_scanned0
weather_data_points0
crypto_price_bets0
sports_matches_vs_sharps0
wallets_decomposed0
bets_traced_onchain$100M+
arbitrages_found0
arbitrages_real0
strategies_that_worked0
EDGES_SHIPPED0.00

The Shelf

Thirty-six case files, catalogued by cause of death. Start with the three below.

What this is

Shelfware is software that gets built and never used. Everything here is shelfware, and I'm not embarrassed about it — I'm documenting it. A well-run experiment that returns "no" is still a well-run experiment, and almost nobody publishes those.

Every claim sits on real data. Where an "edge" turned out to be a bug, I say so — because it usually was. And every post ends where its idea did: on the shelf, with a cause of death. More about the lab →

Nothing here is financial advice. I am aggressively not an advisor — a fact the results make very easy to believe.

Pre-registered failure
📋 predicted"Kalshi is probably not globally soft."
— the brainstorm, before any code
🔬 foundAcross four sports, weather, and two exchanges: correct.