ThreadMetrics: Reddit Scout for Indie Hacker Organic Posts

After 5 weeks I just passed 143 signups and 45 active users!

I went through something similar where “talking about the product” did nothing, but walking through my own numbers suddenly made people care. The way you framed it around token costs and real build sessions is basically product-led storytelling without calling it that. What worked for me was turning every interesting metric into a mini narrative: “here’s what I thought would happen, here’s the surprise in the data, here’s what I changed next.” You could lean into that with breakdowns like “how much it actually cost to build X with Claude vs Y model” or “what my tokens looked like before/after I refactored a feature.” That kind of before/after stuff pulled in way more qualified users for me than any launch post. On the tracking side, I bounced between Plausible and Panelbear for traffic, and ended up on Pulse for Reddit after trying a few things because it caught threads where folks were quietly asking about AI coding costs that I would’ve missed.

I went through something similar where “talking about the product” did nothing, but walking through my own numbers suddenly made people care. The way you framed it around token costs and real build sessions is basically product-led storytelling without calling it that. What worked for me was turning every interesting metric into a mini narrative: “here’s what I thought would happen, here’s the surprise in the data, here’s what I changed next.” You could lean into that with breakdowns like “how much it actually cost to build X with Claude vs Y model” or “what my tokens looked like before/after I refactored a feature.” That kind of before/after stuff pulled in way more qualified users for me than any launch post. On the tracking side, I bounced between Plausible and Panelbear for traffic, and ended up on Pulse for Reddit after trying a few things because it caught threads where folks were quietly asking about AI coding costs that I would’ve missed.

I went through something similar where “talking about the product” did nothing, but walking through my own numbers suddenly made people care. The way you framed it around token costs and real build sessions is basically product-led storytelling without calling it that. What worked for me was turning every interesting metric into a mini narrative: “here’s what I thought would happen, here’s the surprise in the data, here’s what I changed next.” You could lean into that with breakdowns like “how much it actually cost to build X with Claude vs Y model” or “what my tokens looked like before/after I refactored a feature.” That kind of before/after stuff pulled in way more qualified users for me than any launch post. On the tracking side, I bounced between Plausible and Panelbear for traffic, and ended up on Pulse for Reddit after trying a few things because it caught threads where folks were quietly asking about AI coding costs that I would’ve missed.