Semantic Search for Confluence Workspace

Hacker News

Hello Hacker News! I built Sleuth, an open source search tool for your workspace. I originally started off with Slack but quickly learned that Confluence search is a well documented problem: https://twitter.com/beajammingh/status/1273742155731791872?s... Sleuth solves this problem using semantic search to find relevant Confluence pages and Slack messages for your query. You can ask Sleuth questions about HR policies, technical documentation, product decisions, and more. Sleuth is open source and can be self-hosted, although there are dependencies on OpenAI and Pinecone (which will be swapped out for open-source alternatives for larger orgs with regulatory constraints). Feel free to reach out in our Slack group if you're interested in using Sleuth in your workspace: https://join.slack.com/t/sleuthworld/shared_invite/zt-1n3iw8... https://www.loom.com/share/4d3ab63edf9146fab9fcf15befb733b2

Visit product View on Hacker NewsJan 17, 2023

Share card

Actual performance

6points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: open source, hacker news, io · Missing: https docs, excited, just released

80%80% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: slack, new, openai · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Biblos – Semantic Search the Church Fathers55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Biblos – Semantic Search the Church Fathers

Hacker News6

Semantic Video Search62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Semantic Video Search

Hacker News62

Semantic search for video36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Semantic search for video

Hacker News77

Semantic programmatic search for computable data60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Semantic programmatic search for computable data

Hacker News24

Codesearch.ai – Semantic Code Search49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Codesearch.ai – Semantic Code Search

Hacker News15

ModelMint26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Semantic Search made stupidly simple

Indie Hackerscommitment-side-project

PeopleMesh, Semantic Search for People68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PeopleMesh, Semantic Search for People

Hacker News2

Unlost – Semantic search your memory69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unlost – Semantic search your memory

Hacker News2

SchemaVer for semantic versioning of schemas64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SchemaVer for semantic versioning of schemas

Hacker News1

Hachi – Offline Semantic Search65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hachi – Offline Semantic Search

Hacker News1

Browse all products Analyze your launch