~/pushd/brief$pushd brief 2026-10-23
the brief . 23 Oct 2026

23 Oct: 107 public events, no new lines.

9 watched projects were active, with 107 public events. FermataRest was the busiest, with 33 events. No line made the feed that day. The busiest camp: AI agent projects.

public events
107
feed lines
0
hot catches
0
builders active
9
$ sort --by heat | head -50 lines

No line made the feed this day. The watcher stored 107 public events; the latest are below, and the replay plays them all.

  1. 23:47Vex-Foundation pushed to Vex-Foundation/Vex
  2. 23:33Vex-Foundation pushed to Vex-Foundation/Vex
  3. 23:23nirholas pushed to nirholas/three.ws
  4. 23:13nirholas pushed to nirholas/three.ws
  5. 23:11nirholas pushed to nirholas/three.ws
  6. 23:06nirholas pushed to nirholas/three.ws
  7. 23:04nirholas pushed to nirholas/three.ws
  8. 22:56Vex-Foundation pushed to Vex-Foundation/Vex
$ camps --vs last-7-daysevents
  • Robinhood Chainbusy

    Robinhood Chain projects: 20 events, 66.7x its usual day of 0.3.

  • Base and EVMnot read yet

    Base and EVM projects: not read yet. The watcher reaches every account in turn.

  • Solana and pump.funbusy

    Solana and pump.fun projects: 34 events, 17.0x its usual day of 2.

  • AI agentsbusy

    AI agent projects: 48 events, 4.5x its usual day of 10.6.

  • Tools and infrausual

    Tools and infra: 5 events, about its usual day of 3.9.

this day average day, the 7 days before

The week before counts what GitHub still listed when the watcher read each account, so older days can read low.

$ busiest hourUTC
22:0020 events in that hour
$ new repos0

No new repo in the stored repo lists for this day.

New repos land here as the watcher reads each builder's repo list.fresh repos on pulse ->
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The day in a few lines, with the link to this page. Plain text: nothing is posted for you.

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PUSHD brief, 23 Oct 2026
107 public events from 9 watched projects. 0 feed lines, 0 hot catches.
Busiest camp: AI agent projects
https://pushd.fun/brief/2026-10-23
Text only. Paste it wherever you like.

Written from the stored counts with fixed sentences. No model writes this page, and it says only what the counts say.

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