Revalvo
Revalvo is a local-first prompt-engineering workbench for writing, running, versioning, comparing, and evaluating prompts across multiple large language models before they reach production. It aims to combine the speed of chat playgrounds with the rigor of repeatable evaluation while keeping data and API keys in the user's browser.
At a Glance
- Prompt engineers
- Independent developers and AI builders
- Startups and AI product teams
- Teams evaluating LLM workflows before production
- +1 more
AI Tools by Revalvo
(1)
Revalvo
Local Prompt Eval Workbench
Discussions
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Latest News
Revalvo launched on Product Hunt: Run prompts on every model at once. Score. Version. Ship.
Superpower Daily selected Revalvo for practical pre-production prompt and model evaluation tooling.
Superpower Daily's first selection of Revalvo highlighted its local-first architecture, parallel runs, dataset testing, versioning, and built-in evaluators.
Products & Services
A free, browser-based, local-first workbench that runs the same prompt against multiple models in parallel, scores outputs with built-in evaluators, versions prompts with diffs and rollback, and batch-tests prompt versions against datasets.
Market Position
Revalvo positions itself between fast but unrigorous chat playgrounds and slower, server-side hosted evaluation platforms. Its differentiators are local-first browser storage, BYOK with no markup, parallel multi-model comparison, Git-style prompt versioning and rollback, and integrated batch evaluation; the Product Hunt discussion specifically contrasts it with LangSmith and Weights & Biases evaluation infrastructure, which Revalvo describes as better suited to hosted tracing, team evaluation, and production observability.
Leadership
Executive Team
Lokesh
Developer and Product Hunt maker
Product Hunt identifies Lokesh as Revalvo's developer/maker. His Product Hunt maker history includes Monthly Expenses, blobs, Blobs 2.0, and Pretty checkbox; his profile links to loke.sh and Twitter/X @lokesh_coder.
Founding Story
Revalvo's maker said it was built because chat playgrounds are fast but leave no receipt, while hosted evaluation platforms are rigorous but slow and server-side. The initial vision was a local-first middle ground with sub-minute setup, side-by-side multi-model runs, Git-style versioning, and batch evaluation in one app.
Business Model
Revenue Model
Revalvo is free to use and uses a bring-your-own-key model. Users pay their selected LLM providers directly; Revalvo says it takes no cut and adds no markup to API calls.
Pricing Tiers
Browser-based use with no Revalvo account; provider API costs are paid directly by the user to the configured provider.
Target Markets
- Prompt engineers
- Independent developers and AI builders
- Startups and AI product teams
- Teams evaluating LLM workflows before production
- Technically confident operators needing local-first experimentation
- Comparing candidate LLMs for an AI feature
- Iterating on prompts before production deployment
- Regression testing prompt changes against representative datasets
- Validating structured extraction, JSON/XML/Markdown output, and refusal behavior
- Checking tone, helpfulness, relevance, faithfulness, factuality, hallucination, and semantic similarity
- Performance and cost testing against latency or spend thresholds