Finance & Business1 month ago
ProductBlaze — AI Product Manager for Startup Founders
Analyze your product to diagnose market fit and uncover growth bottlenecks.
@teslaptimus · X
The full gallery
Tech stack
62 projects
Analyze your product to diagnose market fit and uncover growth bottlenecks.
@teslaptimus · X
Analytics dashboard for LLM API spending by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
AI platform for macroeconomic research with daily analysis, central bank monitoring, and trading tools.
@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).
Build data dashboards from multiple datasources with automated transforms and modeling.
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
View your performance points, estimated rating, and growth gaps at a glance.
@DiyaVijay6 · X
Check out what I just built with Lovable!
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
Track Polymarket prediction markets, Hyperliquid perps, and on-chain wallet activity in one unified dashboard. Real-time data, trader cohorts, and analytics.
@datadashxyz · X
Detects churn risk by analyzing customer health across product, billing, and CRM data.
@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:
Coursey shows the real data on online courses — member counts, revenue estimates, pricing, and rankings — backed by honest reviews, so you can pick the course that's actually worth
@00jbam · X
buying courses online are difficult, expensive, and sometimes sketchy, however coursey makes the entire process more seamless and effortless.
Analyze market data, trading records, and macroeconomic indicators in an integrated research workspace.
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
Upload trading chart screenshots to get AI-powered technical analysis of support, resistance, trends, and patterns.
@sreebuildss · X
Analyze German property listings to find hidden costs, assess renovations, and optimize government funding programs.
martinvoelker · HN
I built an AI that reads German real estate listings for buyers