Awesome, love the name. In terms of use cases, would you replace an agent created by something like Glean (let's say the agent was dedicated to retrieving internal knowledge for CS teams or Sales teams)?
100%, at much lower cost and accessible by SMBs on top of that. You can typically retrieve any data from your Intercom tickets, CRMs, Slack conversations, websites and documentation tools.
We'll be also adding meeting transcripts but for now our customers build a custom sources and index these with our API.
« Oso has been succeeding while Zanzibar clones have not »
-> Oso looks great but don't you think they will end up selling to Google, which is just sad for Open-Source? We've seen this movie before
Lago (YC S21) | Open-Source Usage Based Billing | Full-time | EU or Bay Area | https://www.getlago.com/
Lago is the leading open-source usage-based billing API, bringing flexibility, transparency and control to teams to handle subscriptions, usage metering and pricing iterations.
Lago has been chosen by companies such as Mistral.ai, Swan.io, Together.ai, Groq.com, and raised a total of $22M (FirstMark, Y Combinator).
We’re hiring either from SF and the Bay Area or Paris, France:
- Product Marketers
- Content Marketers
- Customer Experience Lead - (Post-Sales)
Contact talent[a]getlago.com if interested!
Please include all relevant information (Linkedin profiles, sample of work, where you’re based, helps us respond faster).
We build open-source billing, and are used by companies like Groq.com, Mistral.ai, Together.ai.
So far our marketing has been very organic and founder-led, we're looking for the initial 3-4 people team to take it to the next level: product marketing, brand, demand generation, etc.
The question is: how can we (Lago) make it much easier (if you think it's not the case today) than working with the data from Sigma and from data pipeline exports?
I don’t think you can, which is why I criticized this blogpost for failing to demonstrate a compelling answer, and instead relying on misleading arguments based on invalid pricing assumptions.
If you think it’s easier to calculate MRR with Lago than with data derived from Sigma or the reporting data exports, I suggest showing how it’s done in each case and explaining why Lago’s schema makes it easier.
Arguing that it’s harder on Stripe because if you’re DoorDash you would have to pay a lot of money for Sigma is not honest.
I'll reach out in DM re: invalid pricing assumptions (genuinely wand to gather feedback and iterate).
Re: "how it's done with Lago" : I assume you've seen the SQL queries we shared as examples... but you still don't think it makes the point, what would have? https://github.com/getlago/lago/wiki/Stripe-Data-vs-Open%E2%...
Disclaimer: the example (for the sake of the article) is relatively simple, as it's our first article on this topic, but we're willing to go much deeper, so feedback/inputs are welcome.
Lago (YC S21) | Full-time | Remote - Europe (ProdEng) + Hybrid - San Francisco (GTM) | www.getlago.com
At Lago, we build an open-source usage based billing API, used by companies such as Mistral.ai, Together.ai, Groq.com
We raised $22M from YC, SignalFire, FirstMark (Matt Turck), Clément Delangue (Hugging Face).
We built the ProdEng team from Europe (Remote, or hybrid from our beautiful Paris, France HQ), and are expanding our US Go-to-Market team.
We were 9 a few months ago, are 20+ today and are hiring to support our growth: it’s an exciting time to join the team!
On the ProdEng side, based in Europe, we’re looking for a Machine Learning engineer, Front-End engineer and a Product Designer.
On the GTM side, based in Paris or San Francisco, we’re hiring for a Content Marketer, Events & Social Media manager, SMB Account Executive, and another Solutions Engineer.
As our team sits on 2 continents, we hold regular offsites and the next one is in Porto, Portugal.
Lago | Data Scientist | European Union | full-time | REMOTE or in-person in Paris, France | https://www.getlago.com/
Lago is the leading open-source usage based billing API and is serving companies such as Mistral.ai, Groq, Together.
We’re backed by YC, FirstMark Capital, Clement Delangue (Hugging Face), Romain Huet (OpenAI).
We’re looking for our first Data Scientist, to leverage the usage/consumption/payment data we produce and build data-oriented features for our customers.
We can sponsor visas in France.
If you live in another country in the European Union, we’re open to it (as long as the timezone is +2/-2h from Paris) but unfortunately cannot sponsor the visa.
