@teslaptimus · X

ATsimbalistov · HN

Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

@ChrizBogota · X

A great demo of why in Financial Markets you have to use Grok, it's not affected by "training cut-off date" like the other models. is 100% run on Grok, (but mostly built with Claude).

u/Lopsided_Working2023 · Reddit

I built a product that's like Lovable, but for data apps Hi all, I started a personal project just out of curiosity. The goal was to build an app that: Ingests from datasources to our platform Transforms Models Creates dashboards or other data products Refreshes the whole thing on picked schedule From a single, or a few, user prompts. The idea arose because I've noticed that agents are making LEAPS of progress at data engineering and analytics in a short time

@DiyaVijay6 · X

Check out what I just built with Lovable!

adam_rida · HN

Echo – Fable-level results at 1/3 the cost using open-weight models

@datadashxyz · X

@NicolaTowse_ · X

Hey there, just dropped a follow! I'm building a SaaS product which helps fintech SaaS to protect their revenue and reduce churn:

@00jbam · X

buying courses online are difficult, expensive, and sometimes sketchy, however coursey makes the entire process more seamless and effortless.

u/Status_Stretch_8584 · Reddit

I built a research-first market analytics workspace — looking for honest UX feedback I’m a student developer interested in quantitative finance, macroeconomics, and software engineering. I built QuantFlow because trading records, risk calculations, macroeconomic context, and quantitative research are usually spread across separate tools. QuantFlow brings them into one workspace: a structured trade journal; performance and risk analytics; a macroeconomic dashboard; a Quant Lab for

@sreebuildss · X

martinvoelker · HN

I built an AI that reads German real estate listings for buyers