Lume

Hi Product Hunt 👋  @nebyou_zewde1 , @robert_te_ross , and I are the founders of Lume. 🧨 Problem: Data Mapping is manual and slow We are on a mission to automate the painstakingly manual process of data mapping, after experiencing this frustration as engineers ourselves. The usual mapping process involves a labor-intensive cycle: analyzing data to determine what's relevant, selecting the appropriate properties, developing the mapping logic, and constantly updating mappers to accommodate schema changes in source or target systems. This process, we learned, takes days, weeks, or even months for most teams, and automating it has traditionally been borderline impossible due to unique differences in data. 🚀 Key Features - ✨ Generate mapping logic in seconds: via our API, just pass in a sample of your source data and a target schema, and Lume will generate a mapper. - 🛠️ Edit mapping logic: review and update the mapper as needed to ensure you have the desired outcome. Leverage natural language to edit the mappers quickly and easily. - ✅ Deploy mappers: once you’ve reviewed the mapping logic, save the mappers to use them deterministically in your code via our API, allowing you to reliably move data between schemas as you scale your data pipelines. - 🤖 Auto-maintain mappers: Lume detects changes in your schemas, notifying you and allowing you to use AI to update the mapping logic, effectively automating your maintenance. - 📊 Manage and organize mappers: use Lume’s dashboard to have visibility over all of your mappers and live data pipelines. - 🔮 Upcoming: viewing the generated mapping logic, and adding custom logic. 💡 Use Cases Lume handles three core use cases: - Normalizing Data from Various Providers - Client Data Ingestion - Rapid Setup and Maintenance of Data Pipelines All of these have the common theme of having to map data between unique schemas, where even discrepancies as minor as column name variations make this process time-consuming and near-impossible to automate. This gets even worse at scale. 🎯 Who’s this for? We are actively talking to small to midsize startups that are bottlenecked by data mapping on any of the above 3 fronts, but are also excited to serve larger companies and use cases beyond. 👀 Try Lume Request a demo via https://www.lume.ai. We offer a free pilot. I’ll reach out to you promptly and get you onboarded quickly. 📖 Our story As engineers ourselves, we’ve spent plenty of time grudgingly going over the manual task of mapping data. We quickly learned that we were not the only ones who faced this problem - most companies spend too much time on this. As AI grads from Stanford, and with a fire for this problem, we built Lume AI. We are part of the Y Combinator W23 batch, and we’re excited to be launching here. 💰 Special Pricing Email me mentioning you saw Lume via Product Hunt, and we will give you a 50% discount for your first 6 months! We also offer a free pilot.

That's a really cool tool, I love it when developers make a solution for other Developers - these are the best Dev Tools imo. If I may ask, what do you use for the AI-generation part? One of the major LLMs? One you train your own? Excited to hear from you!

This product is our superpower when it comes to developing software that can integrate across a number of different enterprises. Moreover, I can't express how incredibly smart these models are when we apply them to more "intuitive" data mapping problems relevant to our business. All in all, Lume is huge when it comes to dynamically dealing with unstructured inputs AND outputs!

Working with the Lume team has been an absolute pleasure. We have the unique challenge of mapping thousands of different lender data schemas to hundreds of DMV documents. Lume fixes this

Looks awesome, congrats on the launch! How do you position yourself relative to other data movement products like Workato, dbt, Zapier, etc.?

Nice product @nicolas_machado, I could see Lume being super helpful for ERP data migrations (which are typically bespoke in the ecomm world and a huge PITA). For the API responses, what happens when the data is not an exact fit?

Genius product. Can’t wait to see what’s in store! Congrats on the launch!