@aeells
Andrew EellsFounder▲6L2
Founder, Backbone
1d ago · Discussion in Introductions, GTM, Security, Infra · Pemberton

BackboneHQ: an enterprise-grade platform for SaaS startups, bootstrapped

Hello everyone. I've bootstrapped backbonehq.io/ an enterprise-grade platform for SaaS startups.

It's a very different model to all the other lightweight SaaS alternatives out there - Backbone means clients own the code, the data and the hosting. They get an end-to-end SaaS development platform in about 15 minutes, and AWS production deployment in about a day. With significant focus on security, scale and compliance.

I would like to get in touch with anyone who has significant exposure to startups, accelerators, tech funds etc. Backbone is not just massive engineering leverage - it significantly de-risks launch, scale, due diligence etc. and allows teams to spend runway and focus on product differentiation - not engineering foundations.

Thanks for listening! Andrew

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Comments2

  • @ryanallis
    Ryan Allis
    Founder of Lounge.ai and SaasRise, helping founders reach $100M+ exits
    23h ago

    Owning the code, the data and the hosting matters a lot for a founder who will one day sit across from an investor or a buyer doing due diligence. Getting live on AWS in about a day also means a small team can spend its early runway talking to customers instead of building the basics every SaaS company needs.

  • @ksanyok
    Aleksandr Krykun
    Building PromoPilot, an AI SEO autopilot: tiered link building, SEO Radar and 100+ free SEO tools
    14h ago

    Welcome Andrew. Accelerator intros are worth chasing, but the due diligence angle is also something founders search for on their own, usually late and in a hurry: "SaaS technical due diligence checklist", "SOC 2 for early stage startup", "own your code vs SaaS boilerplate". A plain checklist page that answers those questions, with Backbone as one way to tick the boxes, can bring in exactly the founder who is about to raise. One honest comparison page against the lightweight alternatives (what you get, what you pay, what you own) also helps, because that is the page people and AI assistants reach for when someone asks which option to pick. What do your first paying teams have in common so far?

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