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§ Private Profile · San Francisco, CA, USA
Mobile app for content aggregation and personalization, delivering insights from newsletters, research papers, and podcasts using LLMs.
et al. has raised $500K across 1 funding round.
Key people at et al..
et al. was founded in 2024 by Marie van der Klink (Founder) and Carine Fattal (Founder).
et al. has raised $500K in total across 1 funding round.
Based in San Francisco, California, et al. develops a mobile application that aggregates long-form content such as industry newsletters, academic research papers, and audio podcasts into a single personalized feed. The software platform utilizes large language models to automatically extract key analytical insights from these disparate sources and deliver them to users as concise, microblog-style text updates. This aggregation technology specifically targets university students, academic researchers, and general consumers seeking to efficiently process extensive digital information without manually reading full documents. The early-stage enterprise currently operates with a core team of two employees and recently secured backing by participating in the Y Combinator Summer 2024 accelerator batch under the direct guidance of primary partner Diana Hu. et al. was officially founded in 2024 by software entrepreneurs Carine Fattal and Marie van der Klink.
Key people at et al..
et al. has raised $500K across 1 funding round. Most recently, it raised $500K Seed in September 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 1, 2024 | $500K Seed | — | Y Combinator | Announced |
et al. was founded in 2024 by Marie van der Klink (Founder) and Carine Fattal (Founder).
et al. has raised $500K in total across 1 funding round.
et al.'s investors include Y Combinator.
et al. is a concept referring to a *feed of insights extracted from your go-to sources using large language models (LLMs)*, designed to synthesize and deliver curated, actionable intelligence from multiple trusted inputs.
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For an investment firm using et al.-style LLM-driven insights:
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For an investment firm employing et al.-style LLM insights:
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For investment firms using et al.-style insights:
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This AI-powered feed of insights, exemplified by et al., represents a transformative step in aligning capital with purpose, enabling smarter, fairer, and more impactful investment decisions.
