ocaml
for ml engineers
Steady1
signal score
1
live items
→ Steady
7-day est. ~4
Why this scored 1
every term, weightedEngagement per hour, normalized against the fastest item on its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities are talking about the same entity
Decays to zero over 14 days
Subtracted once something is big and old — we rank what's next, not what's peaked
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology
Outlook
low confidence · estimate, not a guarantee7-day
~4
range 3–5
14-day
~4
range 2–5
30-day
~4
range 2–5
Signal history
7-day window (free)— — projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 129
Meta Garbage Collection: Using OCaml's GC to GC Rust
Meta garbage collection — for devtools engineers
lobstersdevtoolsSteady🔗 4 · rust7d ago - 213
Taking OCaml and Eio for a spin
new programming languages — for ml engineers
lobstersdevtoolsSteady4d ago - 311
Why ML/OCaml are good for writing compilers (1998)
Compilers with ML/OCaml — for compiler devs
lobstersdevtoolsSteady11d ago