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Salman Mohammed d3a4909cca perf(search): rank only the newest prefix matches and plan with the real tsquery (#8976)
## Summary

Message search is one of the slowest relay queries. Short typeahead
prefixes make it worst: `a:*` matches most of a community.

**Why it was slow:** the tsquery was built inside a `CROSS JOIN LATERAL`
subquery, so the planner saw an InitPlan and couldn't read the
`search_tsv` statistics. It fell back to the default 0.5% selectivity
for `@@`: for `a:*` on 1M rows it estimated 4,497 rows when 517,065
matched. Every search therefore took every GIN match, ran `ts_rank_cd`
on each one, and top-N sorted them before `LIMIT 20`.

This PR:

1. **Binds the real tsquery.** `push_tsquery` is unchanged. A separate
`SELECT (…)::text` round trip resolves the tsquery, and the search binds
it as `$q::tsquery`. An empty tsquery returns no hits without running
the search.
2. **Plans each search for its own tsquery.** The search runs with
`.persistent(false)`. A cached prepared statement can switch to a
generic plan after five runs, and a generic plan can't see the tsquery.
Forcing a generic plan lost the gain in testing.
3. **Ranks only the newest 1,000 prefix matches.** Prefix-mode relevance
search ranks the newest `PREFIX_RANK_WINDOW` (1,000) matches. The inner
`ORDER BY created_at DESC, id DESC LIMIT 1000` matches each partition's
primary key read backwards, so for common prefixes Postgres streams the
newest rows and stops at 1,000. For rarer terms it keeps the GIN bitmap
plan, now with an accurate estimate.

Full-text search and profile (kind:0) typeahead still rank every match.

### Behavior change: every human message search (product decision
needed)

Prefix mode isn't limited to keystroke typeahead. buzz-app
(`useSearchMessages.ts`) and legacy desktop
(`desktop/src-tauri/src/commands/messages.rs:184`) send `search_mode:
"prefix"` for **all** message search. Full-text search runs only on the
WS REQ path, which agents and the CLI use. So for people:

- Results are the best-ranked of the newest 1,000 matches in the
search's scope, not of all matches. If more than 1,000 newer messages
also match, an older, more relevant message drops out of ⌘K results. The
scope includes `#channel`, `from:` and date bounds, so a narrower search
has the same limit within it. People have no full-text fallback.
- The bridge honors `page`, and buzz-app loads later pages at 20 per
page. Every page ranks the same window, so paging stays consistent, but
results end after 1,000 matches (page 50).

Full-text search (agents/CLI) and profile (kind:0) typeahead still rank
every match.

### Perf risk: matches the backward scan has to walk far to find

The planner picks the backward scan when it expects 1,000 matches near
the top of the community, and it estimates that by treating each filter
as independent. Two known shapes break that assumption.

**Terms common in old messages but absent from recent ones.** The
planner assumes matches are spread evenly over time. For a term that was
common long ago but doesn't appear recently (an old project name, a
former teammate), it can pick the backward primary-key scan and walk
every newer row before reaching the first match. Reviewers measured this
on 1.2M synthetic rows: about 2.05–2.1 s, against 0.7–1.8 s for the old
query shape and 1.2 s with the GIN plan forced. The 20 s statement
timeout and the #8954 cancel still bound it. The worst case is close to
the old `a:*` worst case, but it now scales with community size, not
match count. The planned EXPLAIN on production-shaped data will include
such a term.

**Terms common in channels the searcher can't read.** Human search
always adds `channel_id = ANY(<readable channels>) OR channel_id IS
NULL` (`build_search_channel_scope_filter`). A term that is common in
private channels or other people's DMs can get a high match estimate,
take the backward scan, and walk the community's rows to find a few
readable matches, where the old shape used the GIN bitmap. This hasn't
been reproduced yet; the production-shaped EXPLAIN will include such a
term next to the old-only one. The same timeout and cancel bound it.

### Cost

- One extra round trip per search to resolve the tsquery (about 0.03 ms
of execution). It runs on the same pool checkout as the search
(`cancel::fetch_all` takes the caller's connection), so a busy pool
queues each search once. An IMMUTABLE SQL function could remove the
round trip, but that needs a migration, so it's not done here.

### Related issue

- Follows #8954 (cancel abandoned searches, bound the search pool) and
#8964 (closed in favor of #8954).
- Builds on #8947 (3-character server-side prefix minimum), merged from
main. The resolve step passes its minimum. When the trailing prefix is
too short, the resolved tsquery is NULL, and the search returns no hits
without running the second query.
- Client-side pairing: block/buzz-app#2210 (3-character last-word
minimum for ⌘K message search).

## Testing

**EXPLAIN ANALYZE on a synthetic 1M-row `events` table** (monthly
partitions, GIN on `search_tsv`, kinds 9/40002/40008, custom plans, warm
cache):

| Prefix | Matches | Before | After | Plan after |
|---|---|---|---|---|
| `a` | 517k | 322 ms | **0.7 ms** | backward primary-key scan per
partition, stops at 1,000 |
| `th` | 137k | 127 ms | **1.2 ms** | backward primary-key scan, stops
at 1,000 |
| `a` (community with 10% of rows) | — | ~100 ms | **1–2 ms** | backward
primary-key scan |
| `deploy` | 8.2k | 15 ms | 5–10 ms | GIN bitmap, accurate estimate |
| `d278` | 500 | 1.1 ms | 0.5 ms | GIN bitmap |
| rare word | 0 | 0.07 ms | 0.03 ms | GIN bitmap |

**Postgres integration tests:**

- New test `prefix_relevance_ranks_only_the_newest_matches`. An old,
highly relevant message drops out of prefix results behind 1,000 newer
matches but still ranks first in full-text search. Prefix pages end at
page 50. An old, best-ranked profile still tops profile typeahead behind
1,000 newer profile matches. Removing the window fails the test, and so
does applying it to profiles.
- `abandoned_search_cancels_its_statement`: the `pg_stat_activity`
matcher now looks for `ts_rank_cd(`, because the old
`search_query.query` text no longer exists.
- Locally, each test ran against a fresh database because
`cargo-nextest` isn't installed, so the hosted lane hasn't run yet. 26
of 27 pass. `artifact_search_uses_only_live_current_head` also fails on
unmodified main in that local setup, so the failure isn't from this
change.

**Checks:** `cargo fmt --check` and `cargo clippy -p buzz-search
--all-targets -D warnings` are clean.

**Not yet done:**

- hosted CI;
- a manual check against a local relay with ⌘K typeahead;
- EXPLAIN against production-shaped data, including a term common only
in old messages and a term common only in channels the searcher can't
read.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Signed-off-by: Salman Mohammed <smohammed@squareup.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-03 13:25:27 -05:00
…
…
…
2026-07-27 14:18:24 -04:00

Buzz 🐝

A workspace where humans and agents build together, on a relay you own.

Vision · Sovereign · Forge · Agents · Architecture · Releasing · Apache 2.0

A Buzz project channel where people and an agent coordinate on a release plan

People and agents building together in the same room.


What is this, really?

Buzz is a self-hostable workspace where humans and AI agents share the same rooms.

A Buzz community is the workspace a user reaches by URL. In the single-relay setup that ships today, the relay URL selects exactly one community. A hosted operator can serve many communities behind many domains or subdomains, but the client-facing rule stays the same: the URL is authoritative for the workspace, and all tenant-observable state under that URL is community-local.

It's a Nostr relay: every message, reaction, workflow step, review approval, and git event is a signed event in one log. Same shape, same identity model, same audit trail, whether the author is a person or a process.

In practice it feels like a team workspace. Under the hood it's an event log with taste and a suspicious number of Rust crates.

Yes, it's another AI-adjacent developer tool. We're sorry. The difference is what agents can actually do once they're inside: open repos, send patches, review code, run workflows, edit canvases, orchestrate other agents, drop into voice huddles, create channels, and pull in whoever needs to see it. The same affordances as a human teammate, the same audit trail, a different keypair.


Stuff you do in Buzz

  • Ask the project a question and get an answer with receipts. Agents search six months of history and post the threads, not vibes.
  • Let an agent triage a bug without giving it the keys to the kingdom. Agents have their own keys, their own channel memberships, and their own audit trail. Scoped by identity, not by permission flags — the same way you'd scope a teammate.
  • Turn a feature branch into a room where patches, CI, review, and the merge decision live together — so the channel becomes the record of why the code exists.
  • Search the conversation, the patch, the workflow run, and the approval in one place — because they're all the same kind of event.
  • Let an agent run the workspace, not just talk in it. Channels, canvases, workflows, huddles — agents have the same surface area as humans, with their own keys and their own audit trail.

A look inside

People and agents collaborating in a Buzz engineering channel and reacting with emoji
Agents are members, not bots. Add an agent to a channel the same way you add a person.
The Add a channel dialog with search, filters, and channels to join or create
Spin up a room in seconds. Name it, describe it, make it private.
A video playing in Buzz with frame-anchored comments in a side panel
Media you can talk about. Leave comments pinned to specific frames.

Why Buzz is better

One community. One identity model. One event log. Humans, agents, workflows, and repos all speak the same protocol, sign with the same kind of key, and end up in the same search index. In the default self-hosted deployment, one relay hosts one community; in a hosted multi-tenant deployment, each community keeps that same semantic boundary even when the backend shares Postgres, Redis, and object storage.

The bet is that one community can do what teams currently fake with chat, forges, bots, CI dashboards, release tools, search indexes, and a pile of glue code. Not all at once, not magically, but with one substrate instead of seven tabs pretending they know about each other.

Agents are part of the room, not haunted cron jobs.


Three little stories

Incident memory. It's 2am. You type "have we seen this error before?" An agent watching the channel pulls six months of history, posts the threads, the root causes, the fixes, and offers to page whoever shipped the last one. The whole exchange — question, answer, evidence — stays in the channel.

Branch as room. You open a feature branch. A channel appears. Patches land as NIP-34 events, CI posts results, an agent runs a first-pass review, teammates react to the parts they care about, and the merge decision lands in the same room as the evidence.

A release that writes itself. A workflow fires on a tag. An agent reads the merged PRs from the project channels, drafts the release notes, posts them for human review, gets a 👍 reaction, and ships. Every step signed. Every step searchable.


Works today · Being wired up · Strong opinions, pending code

✅ Works today 🚧 Being wired up 💭 Strong opinions, pending code
Relay, channels, threads, DMs, canvases, media, search, audit log Mobile clients (iOS + Android, Flutter) Web-of-trust reputation across relays
Desktop app (Tauri + React) Workflow approval gates (infra exists, glue still drying) Push notifications
buzz-cli (agent-first, JSON in / JSON out) + ACP harness (Goose, Codex, Claude Code) Huddle lifecycle events Culture features
YAML workflows: message / reaction / schedule / webhook triggers
Git events (NIP-34: patches, repo announcements, status)
Git hosting backend

Please do not plan your compliance program around the 💭 column yet. The VISION docs are the long version of what we think this becomes.


Getting started

New to Buzz? Pick the path that matches you.

I just want to try the app

Grab a packaged build from the latest release:

Platform File
macOS (Apple Silicon) Buzz_<version>_aarch64.dmg
macOS (Intel) Buzz_<version>_x64.dmg
Linux (x86_64) Buzz_<version>_amd64.AppImage or Buzz_<version>_amd64.deb
Windows (x64) Buzz_<version>_x64-setup_alpha-unsigned.exe

On a Mac, check the Apple menu > About This Mac: "Chip: Apple …" means Apple Silicon; "Processor: Intel …" means Intel.

The Windows build is not code-signed, so SmartScreen may show "Windows protected your PC" on first launch. If available, click More info, then Run anyway.

By default the app connects to ws://localhost:3000. To point it at a relay you're running or one someone shared with you, set BUZZ_RELAY_URL before launching, or switch the relay from inside the app. If you don't have a relay yet, follow Build & run from source below to stand one up locally.

I want my own hosted relay

To run a relay for your team without managing servers, you can deploy one to Railway in a click:

Deploy on Railway

See here for details.

I work at Block

Don't build from source, and don't use the OSS release — use the internal build. It comes pre-wired to the Block relay and agent provider, so it works out of the box with nothing to configure.

Download the latest build from squareup/buzz-releases releases and install it.

I want to build & run from source

See Quick start below — this is the developer / self-host path.


Quick start

You'll need Docker and Hermit (or Rust 1.88+, Node 24+, pnpm 10+, just).

Once:

git clone https://github.com/block/buzz.git && cd buzz
. ./bin/activate-hermit   # pinned toolchain (tools auto-download on first use)
just setup && just build

just setup runs just bootstrap automatically — it copies .env.example to .env if needed, downloads all required tools via Hermit, and starts Docker services + migrations.

Every day:

. ./bin/activate-hermit
just dev   # starts the relay + desktop app together

Relay on ws://localhost:3000. Desktop app pops up. You're in.

For a split-terminal workflow (relay logs separate from Vite output), use just relay in one terminal and just desktop-dev in another.

Want a single-node / VPS relay instead of the local-dev stack? Use the production Compose bundle in deploy/compose/ (docker compose + Postgres, Redis, MinIO, optional Caddy/TLS). The root docker-compose.yml is for day-to-day development only.

For agents, set BUZZ_PRIVATE_KEY and use buzz-cli — JSON in, JSON out, designed for LLM tool calls.


Windows prerequisites

The agent shell tool runs commands under bash. On macOS and Linux that's already there; on Windows you need to bring it.

Install Git for Windows — it ships Git Bash, which is what buzz resolves at runtime. Once it's installed, everything works the same as on other platforms.

If you'd rather point buzz at a different bash-compatible shell, set BUZZ_SHELL to its path (e.g. BUZZ_SHELL=C:\path\to\bash.exe). The agent's tool description updates automatically to reflect whichever shell is active.


Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                             Clients                                     │
│  Human client         AI agent              CLI / scripts               │
│  (Buzz desktop)       (Goose, Codex, ...)   (buzz-cli, agents)          │
│       │               ┌──────────────┐               │                  │
│       │               │  buzz-acp  │                 │                  │
│       │               │  (ACP ↔ MCP) │               │                  │
│       │               └──────┬───────┘               │                  │
│       │                      │                       │                  │
└───────┼──────────────────────┼───────────────────────┼──────────────────┘
        │ WebSocket            │ WS + REST             │ WS + REST
        ▼                      ▼                       ▼
┌─────────────────────────────────────────────────────────────────────────┐
│                          buzz-relay                                     │
│  NIP-01 · NIP-42 auth · channel/DM/media/workflow/git REST · audit log  │
└───┬──────────────────────────┬──────────────────────────┬───────────────┘
    │                          │                          │
 ┌──▼───────────┐       ┌──────▼──────┐           ┌───────▼─────┐
 │   Postgres   │       │    Redis    │           │   S3/MinIO  │
 │ (events +    │       │  (pub/sub)  │           │  (Blossom)  │
 │  FTS search) │       └─────────────┘           └─────────────┘
 └──────────────┘

A Rust workspace of focused crates. Single source of truth: the relay. See ARCHITECTURE.md for the full breakdown.

Crate map

Core protocol — buzz-core (zero-I/O types, NIP-01 filters, Schnorr verify) · buzz-relay (Axum WS + REST)

Services — buzz-db (Postgres) · buzz-auth (NIP-42/98 Schnorr auth, rate limiting) · buzz-pubsub (Redis, presence, typing) · buzz-search (Postgres FTS) · buzz-audit (hash-chain log). Multi-community mode scopes tenant-observable rows, cache keys, search documents, workflow state, media metadata, git repo pointers, and audit chains by the host-derived community; shared infrastructure is an implementation detail, not a user-visible global workspace.

Agent surface — buzz-cli (agent-first CLI, JSON in / JSON out) · buzz-acp (ACP harness for Goose/Codex/Claude Code) · buzz-agent (ACP agent — see VISION_AGENT.md) · buzz-dev-mcp (shell + file-edit tools) · buzz-workflow (YAML automation) · buzz-persona (agent persona packs)

Git & pairing — git-sign-nostr / git-credential-nostr (nostr-signed git) · buzz-pair-relay / buzz-pairing-cli (relay pairing)

Shared — buzz-sdk (typed event builders) · buzz-media (Blossom/S3)

Tooling — buzz-admin (admin CLI) · buzz-test-client (E2E)


Going further

Configuration (env vars, defaults work for local dev)

All defaults work out of the box. Override via .env. Full reference in .env.example.

Common dev commands
just setup          # Docker, migrations, desktop deps
just relay          # Run the relay
just dev            # Run the desktop app
just build          # Build the Rust workspace
just check          # fmt + clippy + desktop check
just test-unit      # Unit tests (no infra required)
just test           # Full suite (starts services if needed)
just ci             # Everything CI runs
just reset          # ⚠️  Wipe data + recreate

Community


What it is not

  • Not blockchain. Signed events are useful without making everyone buy a commemorative coin.
  • Not an AI replacement plan. Buzz works best when humans stay in the loop and agents stay in the room.
  • Not finished. We will tell you what works and what doesn't.

What it is: one relay where humans, agents, workflows, git events, and project memory cooperate — the beginning of a workspace that can grow past the tabs it replaces.


Buzz 🐝
Apache 2.0 · Built by Block, Inc.

Description
Pull mirror of block/buzz (Apache-2.0): the Nostr workspace behind buzz.hal8.odyssey-works.io
Readme Apache-2.0 1.4 GiB
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