benmcredmond
Joined 4 years ago
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74
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31
Member since
Jun 1
Co-founder at Equals (https://equals.app)
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Comment · 1 year ago
Equals | https://equals.com | ONSITE (New York City) | Full-time | Software Engineers and Product Managers
We're building a new spreadsheet, connected to your Stripe, Salesforce and Hubspot data, and your SQL warehouse. We're used by companies like Notion, Intercom, Descript, Attio, and more.
I sincerely believe we have some of the most interesting technical work you'll find at a company of our size (17 people). Building a spreadsheet in the browser is hard!
For our PM role, you'll be our first PM and own a very very broad surface area.
Backed by A16Z and Craft. Team is ex-Intercom, Amazon, Meta, etc.
PM Role: https://jobs.ashbyhq.com/equals/c936a100-5cf5-4f7b-8e65-ef94... Eng Role: not posted yet but email [email protected] if interested
Comment · 2 years ago
Sorry, just seeing this. Yes, we can definitely help. Lots of customers with a background like that. Send me a mail [email protected] and we can set something up.
Comment · 2 years ago
If this is something you're struggling with... It's one of the core use-cases we're solving for at Equals (https://equals.com).
We sync your Stripe data to a data warehouse and give you an MRR by customer by day table. You can use this table in our data connected spreadsheet to report on your business.
Comment · 2 years ago
Hi! Author here. The principles are roughly ordered from start -> end of a project, with the exception of the last. Principle 6 is specifically about how something is built, the preceding ones are about what to build. I can see how it could be a bit unclear.
Comment · 3 years ago
Total number of activations went down.
We aren't trying to hide anything, just tried to share a single number.
Comment · 3 years ago
Hi HN, I’m one of the founders here at Equals.
We've been building Equals – a next gen spreadsheet with data connections – for a few years now. Making Equals fast is a constant stream of work and we've had to solve some pretty interesting problems, we thought it'd be fun to start sharing some of our learnings here.
Our most recent bottleneck was our formats system. The hard thing about formats in a spreadsheet is you can apply them to hundreds of thousands or millions of cells at once. Formats aren't just a presentation concern, they are also the spreadsheet's type system and thus affect the speed of all calculations. The linked post here is by Mike on our team describing the computer science behind how we finally made formats fast.
We shared one of our previous launches on Hacker News [1] and so thought this might be of interest too. Would love to hear any thoughts or feedback.
Ben
Comment · 3 years ago
Hi HN, I’m Ben, one of the founders of Equals. Equals is a new spreadsheet with native connections to databases, data warehouses, and other data sources.
Today, we’re launching a new data source: CSVs. With this release, you can turn any CSV into a mini database, queryable with SQL or our query builder. This lets you use Equals with large internal or public datasets that we don’t have connections to. Once set up you can share your CSV “mini database” with anyone on your team, and upload new versions of the CSV over time.
Under the hood this feature is powered by DuckDB (https://duckdb.org/). We were impressed with performance and with how easy it was to build.
I shared our launch of dashboards (https://news.ycombinator.com/item?id=34805132) a couple of weeks ago. The feedback was super helpful.
We’re still early and would love any feedback from the community.
Ben
Comment · 3 years ago
Few things I'll mention.
First, we have a generous free tier. The free tier includes all but two features, 3 editors, and unlimited viewers.
Beyond that, the main difference is that Equals is a full-featured spreadsheet. You have full Excel/Sheets compatible formulas, pivot tables, formatting, etc. Along with connections to all SQL databases and SaaS tools like Salesforce and Hubspot.
Today's launch adds the ability to build auto-updating dashboards on top of our spreadsheet – but, for example, should you want to do a deep dive on an anomaly on a dashboard, you can do that right in the same tool. Something that gets tricky after a certain point of complexity in tools like data studio.