i feel like when they style them all cute like that (see muse) it means they're problematic and invasive.
906 karma · joined May 20, 2019
AI is making it possible to go after bigger clients so the strategy is to focus on marketing and going upmarket. A lot of new features to add and things to learn as you move up to bigger customers with larger contracts!
Fortunately I think I've been bailed out by agentic coding the last couple months from a product perspective but I think the major gains so far have been due to marketing and exploring alternative growth channels. Even so, keeping momentum is never a given and requires constant output from all angles! Onward...
Crossed over 100K MRR and I'm shooting for 2M ARR by the end of the year. Growing something in this stage is totally different from making it go from zero to one so it's an interesting learning curve. AI has also changed the calculus as well where it seems less crazy to try and do this sort of thing. Time will tell!
Ideas came from building something that I wished existed. Honestly I didn't overthink any of them and I'm glad I didn't. If you do too much market research it tends to make your vision seem less exciting IMO.
Either way my whole point is to just iterate on your initial idea for long enough that it goes from being "your fun idea" to "your fun idea that people are willing to pay for". Then just repeat that loop until you retire :)
I think about it like throwing a dart at the dartboard. You might hit the bullseye in one shot but usually you'll just hit somewhere random then it's up to you to iterate and find the version of your idea that the market will actually pay for. This is the feedback part of the equation and giving up and throwing random darts may never pay off.
the requirements for growth keep changing plus all the AI noise means that the playbook changes regularly. staying on top of the state of the market while improving/maintaining the product and understanding our icp + exploring new verticals is a tricky (but fun) task to manage!
I used to think "if you build it they will come" but, as it turns out, it's much more nuanced than that and requires a lot of iterating and stumbling along the way. I hope to break into another vertical this year!
When I first started, getting customer reviews was my north star, so i would add any feature and hide them under "advanced" if they were ridiculously long-tail. Still worth it for the review and positive experience even if you hide the feature...
1. Don't give up after the first month of no traction, if you can get at least 1 customer at this stage that is a good sign.
2. Make contact with every customer you acquire, find out why they installed your product and what they want from it. Build any feature that they say is missing and offer the best customer support possible
3. Repeat this for a period of time. Once you have more customers the circumstances will change but this how you go from 0 -> 1 and get some runway IMO
Built it because most survey tools felt overgrown for what I needed. It focuses on post-purchase and on-site surveys, attribution questions, and getting clean data out.
Lately I’ve been working on:
Simpler targeting + survey logic Exposing survey data to AI tools Improving response rates without nagging users
It’s bootstrapped, profitable, and built by one person (me).
A lot of our customers use post purchase surveys and on-site surveys to help with this sort of thing. For example a really common use-case is an attribution survey which appears after a sale is made. The survey will ask something like "how did you hear about us?" which helps determine what actually drove the sale so they can get some clear insights outside of Google and Meta. It's not perfectly reliable but it's an additional data point that helps with the mess out there...
On-site surveys for eCommerce and SaaS. It's been an amazing ride leveling up back and forth between product, design, and marketing. Marketing is way more involved than most people on this site realize...
We initially built it for Shopify, but now it’s fully embeddable, supports headless implementations, and integrates with tools like Klaviyo, Zapier, n8n, and Snowflake. One thing we’re especially proud of is how fast and unobtrusive it is: polls load async, don’t block rendering, and are optimized for mobile and low-latency responses.
From a tech angle:
Frontend is all React, optionally SSR-safe.
Backend is Node.js + Postgres, with a heavy focus on queueing + caching for real-time response pipelines.
API-first design (public API just launched: apidocs.zigpoll.com).
We recently open-sourced our n8n integration too.
If you're a dev working on ecom, SaaS, or even internal tooling and need a non-annoying way to collect structured feedback, happy to chat or get you set up. Feedback welcome — especially critical stuff. Always looking to improve.
I'm now supporting over 30K clients and over 40 million survey responses. Naturally lots of things come up when scaling a project solo heres a few:
- Optimizing existing reporting dashboards
- Improving onboarding experience
- Tapping new growth channels (Organic SEO, Paid ads, Integration marketplaces)
- Resolving customer support tickets and minimizing ticket flow in general
Lots of things come up which always keeps the work interesting. It's probably time to scale past one person though so that's next on the docket!