Everything Model Zero does, in order

Solana Launch Dataset v35 · boosted decision trees · Model Zero training server (CPU)

Attempt 5. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

Solana Launch Dataset v35 · boosted decision trees · Model Zero training server (CPU)

Solana Launch Dataset v35 · boosted decision trees · Model Zero training server (CPU)

Attempt 4. The failed attempt stays in the history.

Attempt 4. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

It had stalled (a failed run (retrying)); the watchdog restarted that step.

Solana Launch Dataset v35 · boosted decision trees · Model Zero training server (CPU)

Attempt 3. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

It had stalled (a failed run (retrying)); the watchdog restarted that step.

Solana Launch Dataset v35 · boosted decision trees · Model Zero training server (CPU)

Attempt 2. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

Solana Launch Dataset v35 · boosted decision trees · Model Zero training server (CPU)

Automatic search from v0.40: adds wallet reputation (early buyers' records as insiders, ruggers, bundlers) and every newer signal, with automatic signal discovery.

00:00:00 · trained on 0 examples · $0 compute cost

Solana Launch Dataset v34 (f11) · boosted decision trees · Model Zero training server (CPU)

Adds the social profile: how many accounts and independent communities mention the coin, how reliable those sources have been on earlier calls, whether the talk started before the move, paid promotion, and spam-like repetition.

00:00:00 · trained on 0 examples · $0 compute cost

Solana Launch Dataset v33 (f10) · boosted decision trees · Model Zero training server (CPU)

Adds who funded the first buyers (fresh wallets, groups of buyers funded by the same wallet, buyers funded by the creator's side), the creator wallet's age and links to other creators, and real on-chain holder shares read during the first hour.

05:07:21 · trained on 71490 examples · $0 compute cost

Solana Launch Dataset v32 · boosted decision trees · Model Zero training server (CPU)

Adds wallet reputation: for the wallets buying in the first five minutes, how their earlier early buys turned out — wallets that keep catching 5× and 10× runs, wallets whose picks usually die, and wallets that repeatedly buy in the creator's own block.

01:55:14 · trained on 54530 examples · $0 compute cost

Solana Launch Dataset v31 · boosted decision trees · Model Zero training server (CPU)

Attempt 5. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

It had stalled (a failed run (retrying)); the watchdog restarted that step.

Solana Launch Dataset v31 · boosted decision trees · Model Zero training server (CPU)

Attempt 4. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

It had stalled (a failed run (retrying)); the watchdog restarted that step.

Solana Launch Dataset v31 · boosted decision trees · Model Zero training server (CPU)

Attempt 3. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

It had stalled (a failed run (retrying)); the watchdog restarted that step.

Solana Launch Dataset v31 · boosted decision trees · Model Zero training server (CPU)

Attempt 2. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

Solana Launch Dataset v31 · boosted decision trees · Model Zero training server (CPU)

Automatic search from v0.39: min samples leaf 10 → 40, with automatic signal discovery.

01:47:26 · trained on 53525 examples · $0 compute cost

Solana Launch Dataset v30 · boosted decision trees · Model Zero training server (CPU)

Same configuration as v0.38 (best so far on the headline benchmark), retrained on the newest dataset.

03:40:00 · trained on 53525 examples · $0 compute cost

Solana Launch Dataset v30 · boosted decision trees · Model Zero training server (CPU)

Adds launch context known at the moment of launch: time of day, weekday, name and ticker style, and which launch tool created the coin with that tool's track record on earlier launches.

00:32:38 · trained on 47355 examples · $0 compute cost

It had stalled (a failed run (retrying)); the watchdog restarted that step.

Solana Launch Dataset v29 · boosted decision trees · Model Zero training server (CPU)

Attempt 2. The failed attempt stays in the history.

Reason: training process terminated before finishing (no final status written). Cost: $0.00. Awaiting a controlled retry.

Solana Launch Dataset v29 · boosted decision trees · Model Zero training server (CPU)

It had stalled (dataset preparation); the watchdog restarted that step.

Same configuration as v0.35 (best so far on the headline benchmark), retrained on the newest dataset.

00:14:59 · trained on 26714 examples · $0 compute cost

Solana Launch Dataset v28 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.35 (best so far on the headline benchmark), retrained on the newest dataset.

00:13:46 · trained on 24764 examples · $0 compute cost

Solana Launch Dataset v27 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.34 (best so far on the headline benchmark), retrained on the newest dataset.

00:12:05 · trained on 22950 examples · $0 compute cost

Solana Launch Dataset v26 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.33 (best so far on the headline benchmark), retrained on the newest dataset.

00:10:32 · trained on 21065 examples · $0 compute cost

Solana Launch Dataset v25 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.32 (best so far on the headline benchmark), retrained on the newest dataset.

00:08:55 · trained on 19035 examples · $0 compute cost

Solana Launch Dataset v24 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.

00:07:31 · trained on 17140 examples · $0 compute cost

Solana Launch Dataset v23 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.

00:06:06 · trained on 15397 examples · $0 compute cost

Solana Launch Dataset v22 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.

00:05:13 · trained on 13520 examples · $0 compute cost

Solana Launch Dataset v21 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.

00:04:54 · trained on 3158 examples · $0 compute cost

Solana Launch Dataset v20 · decision-tree ensemble · Model Zero training server (CPU)

Learns from StonkFun launches as well as pump.fun ones, with flags for the launchpad and whether the coin trades against SOL or another asset (StonkFun coins can pair with tokenized stocks).

00:01:36 · trained on 885 examples · $0 compute cost

Solana Launch Dataset v19 · decision-tree ensemble · Model Zero training server (CPU)

Adds the market meta: how many coins with the same name launched before and after this one, whether its name matches what is trending across Solana right now (Jupiter's trending list, every launchpad), and how hot the overall market is.

00:02:51 · trained on 9226 examples · $0 compute cost

Solana Launch Dataset v18 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.

00:02:55 · trained on 9081 examples · $0 compute cost

Solana Launch Dataset v17 · decision-tree ensemble · Model Zero training server (CPU)

Same configuration as v0.18 (best so far on the headline benchmark), retrained on the newest dataset.

00:06:25 · trained on 7875 examples · $0 compute cost

Solana Launch Dataset v16 · boosted decision trees · Model Zero training server

Adds global fees paid : total fees and Jito tips, fees per minute, fees relative to volume, transactions per paying wallet and failed-transaction share — then lets automatic discovery choose which change-signals to add on top. Retrained on the newest data.

00:02:25 · trained on 8590 examples · $0 compute cost