Flyby
Signal trajectory
realSignal 9.6 → 13.2 across 27 readings (+3.6). Composite of press, GitHub velocity, community heat, liveness and funding.
Cross-sectional profile
percentile rank vs 79,105 modeled productsPercentiles computed over the modeled cohort (embedding + signal + tags). Sparse dimensions — network and press — reflect that most products have zero, so a single edge or mention lifts the rank; read those with the coverage flag.
Mortality outlook
model estimateThis is a model estimate, not a verdict. 78,505 of the 79,105 modeled products are unlabeled and scored by the model only.
- LightGBM · binary mortality (dead vs surviving)
- Held-out AUC 0.71 · CV AUC 0.79 ± 0.05 · Brier 0.21
- Trained on 600 verified labels (150 dead / 450 surviving)
- Leakage-guarded: excludes status, discontinued_year, profile_maturity
- Top drivers: tag breadth, signal, vintage, liveness, business model
n=600 is thin → 95% CI on AUC ≈ ±0.10. Treat as a directional signal, not a calibrated probability.
Analyst read
generated from the metrics above · no external narrativeFlyby sits in the 53th percentile of Launch Sentinel's 79,105-product universe by signal, ranked #1,429 of 2,915 in Health. The mortality model puts its probability of going inactive at 1% — a model estimate with a wide confidence band. It sits on the competitive-alternatives graph with 3 linked rivals, so the comparable set below leans on curated edges. Signal momentum is roughly flat.
Comparable set
curated alternatives → functional tag-similarityNo comparable set could be resolved for this product.
Structure
observed attributesFunding & team
not in sourceNo disclosed funding in our sources. Funding data covers only ~1% of the corpus (462 rounds across 79K products), so absence here is unknown, not zero— we don't estimate a number we can't source.