AI assistants and search decision
Lateral
A small team can reproduce the core searchable research workspace and sharing features, but the full product value (community, funding/connectivity, and any proprietary integrations) is lost and the original offering has been sunset.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Lateral alternatives, with the arithmetic →
What a replacement has to do
- Index research artifacts, provide searchable/semantic lookup, create and view researcher profiles/projects, share links or notes between users.
What it still won’t have
- Hosted managed service (accounts, uptime, backups)
- Any user base, network effects, or community built on the original product
- Undisclosed proprietary integrations or dataset access the company may have provided
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Lateral does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
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What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal open-source research collaboration web app using Postgres, Next.js, and a vector store (PGVector). Core features: ingest PDFs/URLs with metadata, extract text, create embeddings via a configurable embeddings API, store embeddings in PGVector, implement a semantic search endpoint with snippet extraction, basic user auth and project/item CRUD, and a simple React UI for search and project pages. Out of scope: payments, advanced funding workflows, large-scale ingestion pipelines. Include error handling, retries for API calls, and unit/integration tests for ingestion, search, and APIs.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productLateral homepage
- official pricingLateral homepage (pricing)
- open sourcesakaiproject/sakai
Integrity checks
What held up, and what did not.
