This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Limina is a data de-identification platform built by linguists and privacy experts. Its context-aware NLP models detect and redact PII, PHI, and PCI across 50+ entity types and 52+ languages with 99.5%+ accuracy--less than half the error rate of leading alternatives. The platform deploys entirely within your own environment (on-prem, VPC, or any major cloud) so data never leaves your control. Trusted by Providence Health and Boehringer Ingelheim.
A live diff viewer where you can side-by-side compare the original and redacted text with each entity type color coded would make QA work so much faster. Right now I'm having to export and manually check samples, and being able to spot check redactions in the platform itself would save a ton of time for our compliance team.
Finally tried Limina on a messy batch of clinical notes and the context-aware redaction caught things I would have missed. Running it in our own VPC without data leaving felt like the right setup from day one.
The accuracy claims are bold but the multilingual support actually held up on my test docs, including some messy mixed-language files. Self-hosted deployment is the real win here for any team with strict data residency rules.
A self-serve accuracy dashboard where teams can upload sample documents and see exactly which entity types get flagged or missed would be super helpful for evaluating fit before fully rolling this out.
About Limina on Product Hunt
“Your Best Data Is Off-Limits. Until Now.”
Limina was submitted on Product Hunt and earned 0 upvotes and 4 comments, placing #7 on the daily leaderboard. Limina is a data de-identification platform built by linguists and privacy experts. Its context-aware NLP models detect and redact PII, PHI, and PCI across 50+ entity types and 52+ languages with 99.5%+ accuracy--less than half the error rate of leading alternatives. The platform deploys entirely within your own environment (on-prem, VPC, or any major cloud) so data never leaves your control. Trusted by Providence Health and Boehringer Ingelheim.
Limina was featured in SaaS (43.1k followers), Privacy (11.2k followers) and Artificial Intelligence (473.7k followers) on Product Hunt. Together, these topics include over 164.7k products, making this a competitive space to launch in.
Who hunted Limina?
Limina was hunted by Limina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Limina stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Limina
A live diff viewer where you can side-by-side compare the original and redacted text with each entity type color coded would make QA work so much faster. Right now I'm having to export and manually check samples, and being able to spot check redactions in the platform itself would save a ton of time for our compliance team.