First $79/m, $4k+ revenue, HN launch - story time!
by RazThis week has been a bit hectic over here at Chartbrew. The week started with an unexpected post on Hacker News to show the Chartbrew open-source repository to the crowd over there. I’m saying unexpected because I decided to do this while browsing the site. (“What if I just make a post about it now?!”).
The post was actually well received and it ended up on the main page and on the 1st spot in the “Show” section for almost a day! This brought a lot of attention to the repository getting around 200 new stargazers. The best thing about it is that 50% of visitors were explorers that ventured to Chartbrew’s main page bringing quite a bit of traffic over there as well.
Later in the week I also got the first subscription to the middle plan (Growth) which marks the successful shift towards making Chartbrew a SaaS. The $4k revenue was made from the open-source project through Sponsors and paid feature requests. The open-source side is here to stay so Chartbrew will continue to have a business model with two different income streams.
Moving forwards, I’m getting a nice amount of feedback from clients with what to concentrate on next. The plan is to stick to modeling the product with the requirements of paying users. Chartbrew’s pricing has also changed just recently to reflect some of the feedback about usage I’ve been getting over the past couple of months.
Here’s Chartbrew’s open page if you’re interested in looking at up-to-date stats 📈
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Do you have an update on how your going with chartbrew ?
- Is there realistic trial option with no constraint on the data-sets an instance can have? (number, type, size), or timed (as why go to effort if you loose that effort in x days)
- Does the app partner with any mobile data capture feed? ( mobile capture to record in data-set)
- Does the app partner with any automated browser scraping tools ?
- Does the app use datawrapper.de for your dashboard widgets?
- Does the app support multi item table comparison. Not the standard table feature sets, more comprehensive.
I am wondering how it compares to Tableau free and first tier.
I am regularly scraping simple public directories, and the data-set is the delta. It is a clunky process at the moment as no tool handles the delta well, and most automated browser scrapes do not support multiple tabs (so still using python).
I have been looking as CKAN (small size) as an option to support the diverse range of data-sets from citizen crowd-source data-sets. I have been googling and chatgpting for a solution for this for a bit and ChartBrew never was discovered.
Maybe ChartBrew is a better fit.
