Henri Liriani
@hliriani
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RT @keithpeiris: We started to build Tome in 2020. 5 years and 25M users later, it’s become clear to us that LLMs are good at starting work….
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If you're building a startup with a sales-led gtm looking for a desk in SF, wifi, an espresso machine, and fun company, reach out — we'd love to have you and occasionally get your take on what we're building.
Are any early stage companies looking for free office space? @magicaltome has a large space in SF and we're looking to give away some of it to a great early stage company or two so we can talk to founders going through founder-led sales. DM me!.
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To founders doing founder-led sales: what sales/gtm tools are you using? . If you're up for a call, would love to see how we can help streamline finding your first 10-100 customers. We've felt the pain. Currently we cobble together 6+ tools just to find leads and close deals.
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We’re talking about getting your first customers today at Tome HQ
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This is what we've been building at Tome. Reach out to give it a try.
Your inbox is full of AI-generated sales emails that you don’t care about. Especially in enterprise, you can’t afford to miss. Therefore, we’re taking a different approach to breaking into new accounts. - Identify and act on strategic insights in real-time.- Write outbound that
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If you're curious, there's more detail here: More in the next month.
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With a deep expertise in a particular domain of research, analysis, and synthesis, I think we can make a new sort of "computer" for sellers—and later for other industries that have similar needs. Excited to share what that could look like and what our earliest customers think.
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Eventually, we see this expanding beyond prospecting. Atop our core research engine, we're building customizable modules that automate / augment human decisioning across the sales process — e.g. generating a business case or a proposal.
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We want this to have an "assistant" form-factor because the way you interact with it should ultimately feel natural and human. You should talk to Tome like you can with with the best people you've worked with: the kickoff meetings, prep, slacks, emails.
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We could tell you if a company's execs are in the press talking about investing in AI, if they have a Product Ops function, or if they're growing cloud spend.
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With the current generation of models, this can be much simpler. It's now possible to acquire, process, and synthesize data about a company to uncover higher-order intent signals + help you act on them according to your strategy.
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The most important part of breaking into new accounts is still being done by hand. For hours, sellers look for financials, internal/CRM data, websites, earnings calls, socials, all to find a problem a prospect cares to solve. The topic of the email they might actually read.
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The problem is, existing tools like contact dbs and intent signal tools might tell you who to reach out to, or when, but lack the richer detail and story. How should I reach out? Why should I reach out? How can I get someone to care?.
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When we spoke to sellers (mainly mid-market and enterprise) we heard the most about how hard it was to break into new accounts and attach to meaningful problems at a company. As a team with virtually no pipeline as we transitioned from self-serve, this resonated with us too.
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We decided to focus on sales. Sellers created the most tomes, most often. Sales teams can drive change in a company if they felt it could drive revenue. We dove into the world of sales, in part, to sell our own product. We learned that slides were just the tip of the iceberg.
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To get further, we needed depth and focus on an industry and persona to train models that create high enough quality content. But, it wasn't quite within reach to make a horizontal product that could write and design useful slides for any audience and any message.
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