Project ideas from Hacker News discussions.

Anthropic, please make a new Slack

📝 Discussion Summary (Click to expand)

1. Slack’s data moat and pricing are a pain point
Many commenters point out that Slack blocks real‑time data access and that the price is high for large teams.

“Slack is $45/user/month … the cutoff where this makes sense financially is probably around 4000 employees even at $10/seat” – mgraczyk
“Slack’s data policy being ‘no’ is a big reason companies are willing to use it. Change that and that willingness goes away.” – bandrami

2. The need for AI‑powered, multi‑user chat
The original post and many replies argue that a single‑person LLM is insufficient for business; a group‑chat agent is required.

“Claude has a glaring limitation: it only does 1:1 conversations. In business, work happens in groups.” – gamerson
“We need Claude and Claude Code … to be first‑class participants in our company’s Slack.” – probabletrain

3. Open‑source / self‑hosted alternatives are already available
A large chunk of the discussion points to existing solutions that can replace Slack without the data lock‑in.

“Mattermost is 90% of Slack. It’s great. We migrated to it in a couple of hours.” – conception
“Zulip is an OSS Slack alternative with a much better conversational model.” – crabmusket

4. Skepticism about Anthropic actually building a Slack‑like product
Several users doubt Anthropic’s track record, resources, or willingness to create a full‑featured chat platform.

“Anthropic is the power company that has a 3D printer to make a faster Maglev than anyone. And yet they can’t.” – troupo
“Anthropic’s CLI wrapper for their own API was consuming 68 GB RAM… they will have a Slack lookalike.” – troupo
“They’re not trustworthy for this because they force every Claude Code user to agree to a non‑compete… they’re actively getting royally screwed.” – bionhoward

These four themes capture the bulk of the discussion: Slack’s cost and data restrictions, the desire for AI‑enabled group chat, the viability of existing open‑source replacements, and the doubt that Anthropic can or will deliver a Slack‑like solution.


🚀 Project Ideas

Slack Data Harvest & AI Query Hub

Summary

  • Continuously streams all public and private Slack messages into a local, searchable database, bypassing API rate limits and export restrictions.
  • Provides a unified AI interface (Claude, GPT‑4, etc.) that can query the full conversation history in real time, enabling context‑aware agentic workflows.
  • Solves compliance archiving, data ownership, and AI integration pain points highlighted by users.

Details

Key Value
Target Audience Medium‑to‑large enterprises using Slack who need full data access for compliance, analytics, and AI.
Core Feature Real‑time Slack message ingestion, GDPR‑compliant storage, AI‑powered search & summarization.
Tech Stack Go/Node.js for ingestion, PostgreSQL + pgvector, LangChain, OpenAI/Claude API, Docker/K8s.
Difficulty High
Monetization Revenue‑ready: tiered subscription ($0.02/msg + $49/month base).

Notes

  • “Slack is $45/user/month” – users want cheaper, self‑hosted solutions that still give full data control.
  • “Slack’s API rate limits and design make it difficult to replicate the data within Slack to a data store” – this tool removes that bottleneck.
  • Enables compliance teams to archive data “for a required amount of years” without paying Slack’s enterprise plan.
  • Sparks discussion on whether enterprises should rely on third‑party data pipelines or build their own.

Self‑Hosted Slack‑Lite with Built‑In AI

Summary

  • An open‑source, self‑hosted chat platform that mimics Slack’s core features but is lightweight, cost‑effective, and natively supports AI agents.
  • Includes a plugin system for AI assistants that can join channels, summarize threads, and execute tasks.
  • Addresses cost (“Slack is $45/user/month”), data ownership, and AI integration frustrations.

Details

Key Value
Target Audience Small to mid‑size companies, dev teams, and open‑source communities.
Core Feature Web & desktop client, channel/thread model, AI agent integration, self‑hosted compliance.
Tech Stack Rust/Go backend, React/Vue frontend, WebSocket, PostgreSQL, Docker Compose.
Difficulty Medium
Monetization Hobby (open source) with optional paid support & managed hosting.

Notes

  • “I’m at a small company, so I assume large corporations have already refined this process” – this product gives small teams the same power.
  • “Slack is $45/user/month” – self‑hosting eliminates per‑user fees.
  • “If people wanted to do this they’d be self‑hosting XMPP servers already” – this simplifies the stack while keeping data on premises.
  • Encourages discussion on whether enterprises should adopt open standards or proprietary solutions.

AI‑Participant Platform for Existing Chat Apps

Summary

  • A lightweight SDK that lets AI agents become first‑class participants in any chat channel (Slack, Teams, Mattermost, Google Chat).
  • Agents can read context, post replies, upload files, and trigger workflows, all within the native chat UI.
  • Solves the “AI can’t participate in your team’s actual workflow” pain point.

Details

Key Value
Target Audience Product teams, customer support, engineering squads using any chat platform.
Core Feature SDK + CLI for deploying AI agents, context extraction, real‑time interaction.
Tech Stack Python, FastAPI, WebSocket, OpenAI/Claude API, Docker.
Difficulty Medium
Monetization Revenue‑ready: $99/month per agent or per channel.

Notes

  • “The problem isn’t Slack. The problem is that AI can’t participate in your team’s actual workflow” – this platform directly addresses that.
  • “You need your existing communication tool to have a third kind of participant that actually does work” – aligns with user sentiment.
  • Enables teams to keep using familiar tools while adding AI capabilities without building a new chat app.

Unified Chat API & Bridge Service

Summary

  • A service that abstracts multiple chat platforms (Slack, Teams, Mattermost, Google Chat, Discord) into a single, rate‑limit‑aware API.
  • Provides unified message export, compliance tagging, and AI integration hooks.
  • Addresses interoperability, data access, and compliance concerns raised by many commenters.

Details

Key Value
Target Audience Enterprises with multi‑platform messaging ecosystems.
Core Feature Unified API, message sync, compliance metadata, AI agent hooks.
Tech Stack Node.js, GraphQL, Redis, Kafka, Docker Swarm.
Difficulty High
Monetization Revenue‑ready: $199/month per platform + $0.01/message.

Notes

  • “Slack’s data access policy is basically ‘No.’” – this bridge bypasses platform restrictions while respecting terms.
  • “You’re forced to use their MCP and their realtime search APIs, which don’t work very well/not performant” – the bridge offers a more efficient alternative.
  • Encourages discussion on whether enterprises should rely on a single vendor or a multi‑platform strategy.

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