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Learning Hive Projects in Public #1B: 3Speak Follow-up After Dev Corrections

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Published: 13 Apr 2026 › Updated: 13 Apr 2026Learning Hive Projects in Public #1B: 3Speak Follow-up After Dev Corrections

Learning Hive Projects in Public #1B: 3Speak Follow-up After Dev Corrections

Learning Hive Projects in Public #1B: 3Speak Follow-up After Dev Corrections

3Speak follow-up architecture map

3Speak evidence timeline

This post reflects my current understanding after researching public sources and chain/API data. I may still misunderstand parts of this system. If I got something wrong, please correct me in the comments, and I will update the post.

This is a follow-up to my first 3Speak profile in this series:

After feedback from @eddie-3speak, I did a deeper pass across the broader Mantequilla-Soft GitHub org, plus recent public 3Speak ops updates.

What changed in my understanding

Short version: my first post was directionally right, but it under-described how broad the current service surface appears to be.

Based on public repos and docs, 3Speak looks increasingly like a modular service stack, not just one frontend + one encoder path.

Public implementation signals I found

Frontend layer

README + .env.example indicate a fairly wide integration surface:

  • main API
  • GraphQL API
  • checker/feed API
  • upload endpoints/tokens
  • player/editor URLs
  • translation endpoint
  • image fallback endpoint

Upload + encode + job handling signals

  • 3speakuploadservice
  • embedvideos
  • 3speakencoder
  • 3speakchecks (described as “Pancreas API”)

Monitoring + storage/infra signals

  • 3speak-gateway-aid
  • monitor-3speak-tv
  • supernodemonitor
  • 3speakstorageadmin
  • hotnode
  • videohunter

Player/media helpers

  • 3speak-player
  • snapievideoplayer
  • subtitle/translation repos

On-chain/public ops signals that support “active system”

Recent @threespeak posts continue to publish weekly encoding network metrics.

Week 19 report (publicly posted):

  • 246 encoding jobs
  • 7 nodes
  • 6 active Hive accounts
  • one node at 96% success, others at 100%

Reference:

Also relevant project update post:

Corrections from the first post

These should be considered corrected:

  1. Current dev signal is not mainly old spknetwork/* repos anymore.
  2. Mantequilla-Soft repos appear to be the stronger current implementation signal for the product stack.
  3. There is more operational decomposition visible than I originally documented.

Important caveat (still true)

Even with this deeper pass, public repos do not fully prove:

  • exact production topology,
  • which services are hard critical-path vs optional tooling,
  • live traffic split,
  • operational SLAs.

So I’m still treating parts of this as “high-confidence inference,” not final doctrine.

Open Questions

  1. Which services in this visible repo set are currently in the main production request path?
  2. Which are support/internal tooling vs user-facing runtime dependencies?
  3. What is the canonical public architecture map for upload -> encode -> storage -> playback?
  4. Which status page/metrics source should external researchers treat as source-of-truth?
  5. How should users separate “3Speak product status” from broader SPK-network roadmap status in 2026?

Sources


If any core maintainers want, I can do a next post that is just a strict architecture map review (draft diagram + “confirm/deny” checklist) and then publish a corrected v2 based on maintainer feedback.

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