Naxely
Turn raw data into client-ready PDF reports with AI
Naxely transforms raw data into polished, client-ready PDF reports in under a minute.
Features
- Upload CSV or connect Google Sheets
- AI-generated insights and anomaly detection
- Branded PDF with charts and recommendations
- Custom branding to match your identity
- Free tier available
Use Cases
- Freelancers sending client reports
- Agencies automating reporting workflows
- Analysts delivering data insights without manual formatting
Comments
So here's the dirty little secret: I built Naxely out of sheer spreadsheet-induced rage. I was doing freelance data work, and every single client looked at my beautiful, meticulously curated raw data and went, "Cool, now where's the report?" Cue me formatting the exact same charts, tables, and color codes for the 47th time at 2 AM. That's when I snapped — and Naxely was born. It does the boring stuff so I don't have to. Oh, and we're going live on Product Hunt this Wednesday. Come roast it — or love it. Either way, I want your honest take.
The anomaly detection is what separates this from a generic "CSV to PDF" tool, that's where the AI actually earns its place. Two questions: can you lock the branded template (fonts, colors, logo) once so every client report comes out consistent without re-styling each time? And does the Google Sheets connection refresh on a schedule, or is it a one-off import at generation time? Agencies doing weekly reporting would care a lot about that second one.
Hi, I just discovered your project on Fazier and I really like the direction you’re taking. I noticed a strong growth opportunity that could help you reach more targeted users, especially through Reddit community marketing, citation building, and strategic email outreach. Many brands are missing thousands of potential customers because their audience is already discussing their problems, looking for recommendations, and searching for solutions inside niche communities. I help businesses turn those conversations into brand visibility, trust, traffic, and qualified leads through authentic Reddit engagement and conversion-focused email strategies. I’d love to share a few growth ideas tailored specifically to your project. Best Regards, Olayinka Adeoye +1 479 739 7382 (WHATSAPP)
The thing I'd think hardest about: your "AI insights + anomaly detection" ships inside a document with the freelancer's logo on it, in front of their client. That's a very different risk profile than an internal dashboard — if the model calls a normal seasonal dip an "anomaly," or writes a confident recommendation off a tiny sample, it's the freelancer's credibility that takes the hit, not yours. So: can the user review, edit or delete each AI insight before export, and do you surface the underlying rows behind a flagged anomaly? I build an AI-sourced data product, and the thing that actually bought us trust wasn't accuracy claims — it was making every number traceable back to where it came from. For a report someone puts their name on, that traceability isn't a nice-to-have, it's the feature.
The formatting time is real, but the part I'd worry about is the AI-generated insights and anomaly detection, since my name is on the report. If it flags an anomaly and the client asks me about it in the meeting, I need to defend it. Do you expose the underlying numbers behind each insight, or is it prose only? A "here's why we flagged this" drill-down is what would make me comfortable sending it out under my own branding.
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Comments
So here's the dirty little secret: I built Naxely out of sheer spreadsheet-induced rage. I was doing freelance data work, and every single client looked at my beautiful, meticulously curated raw data and went, "Cool, now where's the report?" Cue me formatting the exact same charts, tables, and color codes for the 47th time at 2 AM. That's when I snapped — and Naxely was born. It does the boring stuff so I don't have to. Oh, and we're going live on Product Hunt this Wednesday. Come roast it — or love it. Either way, I want your honest take.
The anomaly detection is what separates this from a generic "CSV to PDF" tool, that's where the AI actually earns its place. Two questions: can you lock the branded template (fonts, colors, logo) once so every client report comes out consistent without re-styling each time? And does the Google Sheets connection refresh on a schedule, or is it a one-off import at generation time? Agencies doing weekly reporting would care a lot about that second one.
Hi, I just discovered your project on Fazier and I really like the direction you’re taking. I noticed a strong growth opportunity that could help you reach more targeted users, especially through Reddit community marketing, citation building, and strategic email outreach. Many brands are missing thousands of potential customers because their audience is already discussing their problems, looking for recommendations, and searching for solutions inside niche communities. I help businesses turn those conversations into brand visibility, trust, traffic, and qualified leads through authentic Reddit engagement and conversion-focused email strategies. I’d love to share a few growth ideas tailored specifically to your project. Best Regards, Olayinka Adeoye +1 479 739 7382 (WHATSAPP)
The thing I'd think hardest about: your "AI insights + anomaly detection" ships inside a document with the freelancer's logo on it, in front of their client. That's a very different risk profile than an internal dashboard — if the model calls a normal seasonal dip an "anomaly," or writes a confident recommendation off a tiny sample, it's the freelancer's credibility that takes the hit, not yours. So: can the user review, edit or delete each AI insight before export, and do you surface the underlying rows behind a flagged anomaly? I build an AI-sourced data product, and the thing that actually bought us trust wasn't accuracy claims — it was making every number traceable back to where it came from. For a report someone puts their name on, that traceability isn't a nice-to-have, it's the feature.
The formatting time is real, but the part I'd worry about is the AI-generated insights and anomaly detection, since my name is on the report. If it flags an anomaly and the client asks me about it in the meeting, I need to defend it. Do you expose the underlying numbers behind each insight, or is it prose only? A "here's why we flagged this" drill-down is what would make me comfortable sending it out under my own branding.
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