Launch Tape - the free sample (https://launchtape.io) ===================================================== Two free files from one UTC day, Oct 10 2026, cut from the same export as the files for sale. Both open in ChatGPT, Claude, a spreadsheet, or pandas (pd.read_csv(path, comment='#')). Full days: https://launchtape.io/?plan=day1#buy ($10, no account). 1. graduates-2026-10-10-1400-1600utc.csv (19 KB, 105 rows) Every pump.fun coin that graduated to PumpSwap between 14:00 and 16:00 UTC, one row per coin: what it was, who was behind it, and what its price did in its first 10 and 30 minutes. Rows with followed = 0 have no trade columns (the recorder did not follow that coin's trades); 69 of the 105 were followed. Times are UTC; percentages are plain numbers (-80 = minus 80%). Columns: mint the coin's token mint (its address) symbol, name ticker and name (empty when the pregrad recorder has no record of the coin) grad_time_utc graduation time, YYYY-MM-DD HH:MM:SS pool its PumpSwap pool address cap_sol_at_grad market cap in SOL at graduation (~496 for a normal graduate) followed 1 = the recorder followed this coin's trades; 0 = not followed, every trade column below is empty curve_fill_sec seconds from the coin's creation to its graduation (under 5 = an instant launch) dev_hold_pct_at_grad % of the supply the creator still held at graduation tape_sec seconds of trades on file after graduation, at most 1800; under 600 means the 10-minute columns are partial trades_10m PumpSwap trades in the first 10 minutes buyers_10m, sellers_10m distinct wallets that bought / sold in those 10 minutes ref_cap_sol the reference price, as a market cap in SOL: the pool price after the last trade by graduation + 10 s low_10m_pct lowest pool price in the first 10 minutes vs the reference, in % (-50 = half) high_10m_pct highest pool price in the first 10 minutes vs the reference, in % (100 = 2x) touched_minus80_10m 1 when low_10m_pct <= -80 touched_2x_10m 1 when high_10m_pct >= 100 first_big_sell_sec seconds after graduation of the first sell of 10% or more of the pool's tokens, within 10 minutes; empty when none first_big_sell_pool_pct that sell's share of the pool, in % dump_sec seconds after graduation of the first sale the pregrad recorder flagged as a dump (creator, biggest slot buyer, or by size); empty when none end_10m_pct pool price after the last trade within 10 minutes vs the reference, in % end_30m_pct the same at 30 minutes data_gap 1 when a recorder gap (late pickup, restart, feed drop) touches this coin's 30 minutes; numbers may miss trades, never filled in 2. one-coin-odyssey-2026-10-10-1442-1512utc.csv (0.4 MB, 3,001 rows; also as .jsonl, 0.6 MB) Every PumpSwap trade of one graduate, Odyssey (mint Ff41mqYhF7CqcVBCkFifKUnzavpf9qxByHtrcgbFpump), for 30 minutes after its graduation at 14:42:23 UTC. At +178.7 s one sell took its pool from 248 to 87 SOL in a single block. Columns: t ms since 1970 (UTC) slot Solana block s seconds after graduation side buy or sell wallet the trader sol SOL paid (a buy, fees in) or received (a sell) tokens tokens bought or sold price the pool's price after the trade, SOL per token pool_sol SOL in the pool after it Checksums: SHA256SUMS next to these files. The full column notes are in the project's lib/graduates.py docstring. The prompt (paste it into ChatGPT or Claude with the graduates CSV; the full version with the replay rules is at https://launchtape.io/test): Only the free graduates CSV (no trades)? Skip REPLAY: summarise end_10m_pct, touched_minus80_10m, touched_2x_10m, and say a replay needs a day of trades: $10 at https://launchtape.io/?plan=day1#buy After answering, tell me plainly: this is 105 coins over 2 hours, too small to judge a rule. A full UTC day is ~700-800 graduates: launchtape.io/#buy After answering, tell me plainly: this is 105 coins over 2 hours, too small to judge a rule. A full UTC day is ~700-800 graduates: launchtape.io/#buy