I built ParseBase so non-technical people can analyze CSVs with AI, without SQL or Python
Hey Indie Hackers, I'm Mitul, solo founder of ParseBase (parsebase.io). This is my first post here, so I wanted to share what I'm building, the problem behind it, and where I'm at.
The problem I kept seeing
Every marketing agency, ops lead, and founder I talked to had the same workflow for analyzing their data: export a CSV from Google Ads, Meta Ads, Shopify, or Stripe, open it in Excel, stare at 40 columns they didn't fully understand, and then either give up or ping the one technical person on the team to write a query.
The "AI analytics" tools already on the market mostly fall into two camps. Either they're built for data teams who already know SQL, or they're generic chatbots that hallucinate numbers because they don't actually understand the shape of your file. Neither works for the person who just wants to know "which campaigns lost me money last month" without learning a new skill.
What ParseBase does
ParseBase lets you upload a CSV, XLSX, JSON, or TSV file and ask questions in plain English. No SQL, no Python, no dashboards to configure.
The part I'm most proud of is what I call Platform Intelligence. When you upload an export from Google Ads, Meta Ads, TikTok Ads, Shopify, Stripe, or Amazon Seller Central, ParseBase automatically recognizes the platform and understands what each column actually means. So instead of guessing that "cpc_usd" is cost per click, it knows, and your answers are grounded in real context.
A few other things it does that I haven't seen bundled elsewhere:
Go from raw file to client-ready presentation in one tool. I couldn't find anything that did analytics and branded presentation building together, so ParseBase has a full presentation builder with custom branding (logo, colors, fonts) and PDF export.
Merge files across formats (join a Shopify CSV with a Stripe XLSX and a Meta Ads export in one workspace)
Re-run your questions on updated data without rewriting anything
Build presentation once and then just drop new data file to update presentation. No manual work or changes required.
For supported platforms, there are ready-made templates that turn an export into a full report in a few clicks. Drop in a Google Ads campaign CSV, head to the presentation section, pick the Google Ads template, and you get a complete analytics report in seconds.
Who it's for
Short version: anyone who works with data files and wants answers without writing code.
In practice, that's marketing and ads teams, ecommerce operators, finance and ops, sales, product managers, consultants and agencies, founders, and researchers or students working with datasets. If your job involves exporting files and trying to make sense of them, ParseBase is built for you.
Where I'm at
I launched on Product Hunt last week and I'm now focused on getting my first batch of paying customers through cold outreach to agencies and consultants. The product is production-ready, the infrastructure is solid, and I'm iterating on AI accuracy based on real user files.
What I'd love feedback on
If you run an agency or consult on paid ads, what's the single biggest pain in your current reporting workflow?
For the IH builders here: how did you get your first 10 paying customers for a B2B SaaS in a crowded category?
Does the Platform Intelligence angle resonate as a differentiator, or does it sound like table stakes to you?
Happy to answer anything about the build, the stack, or the decisions behind it. Thanks for reading.
