Algolia

“Algolia was growing 20% a month for the first two years.”

“I did Algolia, which is gonna IPO.”

“Actually, I still remember our first customer, that first meeting, when I did a demo using a command line to index content. We didn't have any API client yet. We didn't have any admin UI yet. Just a command line and then a very simple webpage to show the searc…”

“At Algolia, we didn't have a sales deck before we got to ten million ARR.”

“When the buyer is not technical and wants a turnkey solution, we always, not always, but most of the time, we actually lose the deal. But when the buyer is technical, or if tech has a lot of influence in the decision, we win way more often.”

“Documentation is marketing. That's how people are going to interact with your product. That's actually the first place people are going after your homepage and maybe a pricing page.”

“At Algolia, we decided that the feature was not ever done until the doc was done. And documentation should be written by developers.”

“Developers hate speaking to these level one support people who don't know anything about the product they are supporting. Engineers should do support, and that's going to lead to two great things. One, your users are developers, and when they interact with dev…”

“Taking the example of Algolia again, we actually waited until hundreds of employees Before we built a dedicated support team. And then we actually asked our best engineering manager to build that team.”

“Well, early on at Algolia, we were actually asking every single engineer in the team to do what we called a marketing hack every single month.”

“I remember when we implemented Algolia in Product Hunt, you know, Ryan, the founder, that was before Product Hunt became huge, and he didn't have, like, any resource to implement search himself, and so we remembered the Stripe story. We did it. Like, he gave u…”

“With other search technologies, this is again, this is the wrong search mode. If you're searching with keywords and just not finding The relevant information, because the embeddings, the contextual space in which these pieces of text, documents, or images live…”

“Turns out in 20, 24, they're all, these three and a half companies, 200, they're all exactly the same. They're all breakeven, and they'll have 700 employees. Break even and set all of them.”

“Second one, Algolia, worth three billion, doing over two hundred million, we'll IPO next year.”

“We had a panel of Algolia, Talkdisk, Greenhouse, and I think SalesLoft, they're all at two hundred million and at least three of them, I think, will IPO next year.”

“And I did five real unicorns in my first 13 months, right? I did pipe drive, which exited for like 1.25 billion. And then I'll go, it was my second. That's where 2.5 billion will IPO next year. I did talk to us worth ten billion. I did Parklet greenhouse, whic…”

“And then I'll go, it was my second. That's where 2.5 billion will IPO next year.”

“So, to build search, you don't necessarily need elastic search. You maybe need Algolia. If that's what you're looking for, and you're focusing on building great search, you don't have to build everything around what you need in order to operate a complete sear…”

“I had no idea that any of my cash unicorns, right, the ones that were exited for billions, I didn't, Think any of them would except for talk desk. I did. I, and it's not that I didn't love the founders. It's just so hard, right? It's just so hard to build thes…”

“I did pipe drive, talk desk, Algolia, greenhouse, and sales loft all within 12 months.”

“The second one was Algolia, which is doing hundreds of millions and is worth three billion today, which will go IPO when we come out of this search as a service API.”

“I'll go like today's worth three billion probably would be IPO and if it wasn't for the markets”

“I did only 500 K in the first round and I bought up in the next. I did three and a half million in the A. So I did 500 K in the seed at 12 pre.”

“First of all, I would have done the million at 15 in a heartbeat, right? And that would have been my bare minimum of investment, right? Because then I would have owned eight percent or something in the company. And no, I would have passed on it.”

“Algolia, and again, this was the first venture investment I did when it was unanimously no, and I still did it, but the founders were clearly better than me. The traction was better than I had. The understanding of the problem was better than I had as a founde…”

“Nicholas was very clear on this. He waited until forty million to build his first management team. That was way too long.”

“Nicholas did step down as they were approaching a hundred million and Bernadette took over.”

“The other investors thought that fifty million was the highest outcome for Algolia. One of the reasons I was able to invest is because twelve million pre was too high for them. Because a fifty million dollar exit can't support anything much more than a five to…”

“When that first management team, which because they had so much momentum, they recruited so late, right at 30 or forty million. When really none of that team worked out, it was, it almost wrecked the company.”

“We have over 13,000 customers, and doing about thirty billion search requests a week.”

“What makes the CRO role different than the VP of sales is the fact that this allegiance to growing the overall company and an understanding that there's gotta be a marketing strategy that's in lockstep with the product strategy that then when it rubber hits th…”

“We made an announcement yesterday that we acquired A company called search.io. So we have been the leading API first keyword search platform on the market, and search.io cool startup, about 30 people, mostly out of Australia, and they are, and they have a sema…”

“I'll tell you, Q two, the data failed me. The algorithms we've built over the past 10 quarters from the tops down and bottoms up, it started to fail.”

“As you're thinking about introducing that second product, make sure it's a product that is applicable To your main persona or the decision-making unit to which your sellers, your go-to-market strategy is already aimed because otherwise they will have a hard ti…”

“You want to raise the money when you don't need the money, because then you can act financially independent because you don't need the deal.”

“You also need to blend that with people that have stage-specific experience, so you're screening for values, you're screening for skills, Also, screening for stage-specific experience can be really, really important, because again, you get that impedance misma…”

“You did a panel you did it with three entrepreneurs on, that were at a million in ARR, and all four of you are unicorns and decacorns. So it's interesting. It was you, Tiago from TalkDesk, Nicholas from Algolia, and Daniel from Greenhouse, and all were growing…”

“And they just crossed a hundred million accelerating, okay, at about 60% growth.”

“We basically help developers of website apps like Medium, Twitch, Under Armour, and many users, and power their internal search. So if you search on any of these companies you basically, you are basically using us behind the scene.”

“Pure play SaaS. It's only in the cloud. So it's only subscription based. We are going to have customers from Like long tail of developers that are going to self-serve on the service. We start at 35 dollars a month, and we're going also to have up to bigger ent…”

“Enterprise is 80% of our business today. Let's say that five percent of our customers are going to bring about 80% of their revenue.”

“We're close to six figures in the range, like 80 to 100 K.”

“It's about if I group SDRs and BDR together, we're speaking about one between one and one for one for two.”

“All our engineering is is there.”

“We're about 6000 customers right now.”

“We crossed the, so we crossed the twenty million ARR milestone last year and pretty like we're going to close, close to double this year. So we're going to be over forty million this year.”

“And so we decided very early not to have any support team, for example. Because we wanted to make sure everyone in the company was user facing and really felt the need and the pain of the customers. So support was done by engineers.”

“And as we speak, we're actually creating a support team now, dedicated support team mostly to be able to do 24 seven support and have a higher quality of support and response time. That's great. But we still ask our engineers to participate to that.”

“So it's going to depend about the segment industry and so on, but basically you can expect them to pay about 30% more the next year.”

“Yeah, we're above a hundred percent. Okay. Largely above 100% retention. It's between like I mean, the return is going to end up between one 21 25, depending of like depending of the year, depending of the segment, but that's basically it.”

“No, no, no, we're close at one year.”

“Yeah, it's going to be like probably next year. Sometime next year will raise a new run.”

“We are today around 350 people in six different offices. We have mainly a bare metal infrastructure with close to 3000 servers distributed in more than 70 data centers, and we handle between 203 hundred billions API columns.”

“The better your team is, the more difficult it is to take the good build versus by solution.”

“First big decision we took, it was in the very early days of the company, we were only two, we have not even fundraise, we have no salaries, so very, very early days of the company, we decided to use bare metal infrastructure and not use cloud infrastructure, …”

“Like search engines are very intensive in terms of CPU, SSD, memory, so we had to pretty much select a very specific machine, very specific hardware, to make sure we have the best performance of the market. None of that was available on cloud infrastructure at…”

“Like we had at the moment of the launch, 12 regions. Amazon was covering only seven of them. So we were not able to do the geo routing for all our customers, all our region.”

“I think a good engineering team will always find this, and they will come to you and give you a big list of things you could do way better than anyone else, even if they have no strong expertise on this market.”

“So what I did learn in this story is never try to convince them, but challenge them on the cost of developing their prototype, challenge them on the fact we cannot use our existing monitoring solution for six months to a year while we find a good solution on t…”

“And I think that the big learning with SAS, your internal team will never be able to compete with the SAS product. Never. It's hopeless. Like, if the solution is successful, the team will scale, and maybe today they have two engineers, but in two years they wi…”