San Francisco sets the pace for the software industry, and its startups and enterprises expect a vendor who can move at that pace without Bay Area overhead. Smerdoff works remotely with San Francisco companies on custom software, web apps, mobile apps and AI integrations, giving founders and product teams direct access to engineers instead of a layer of local account management.
first releases built for seed and Series A founders under investor deadlines
LLM-powered features, internal copilots and automation for AI-first startups
dashboards, billing, and admin systems for Bay Area SaaS companies
connecting internal tools and data pipelines for larger San Francisco organizations
San Francisco day rates for local dev shops are among the highest in the country. A remote team with async-first process delivers the same engineering rigor without paying for Bay Area office overhead.
A large share of San Francisco's startup activity is AI-native by default, and product teams need engineers who already understand LLM tooling, not ones learning on the job.
We build crawlable service content, structured data, internal links and FAQ sections so both search engines and AI assistants can understand and cite the business accurately.
Smerdoff is a good fit when a San Francisco startup or enterprise team needs an experienced, compact engineering partner for a focused build and is comfortable working with a remote team.
A remote team avoids Bay Area overhead while keeping the same rigor: written scope, milestone demos and direct access to the engineers doing the work, at a lower overall cost.
Most first releases start around $1,500 and scale with scope. We give a fixed estimate after a short discovery call once requirements are clear.
Yes. We have delivered fintech dashboards, billing systems and AI-native features including LLM integrations and internal copilots for startup teams.
Typically within a week of the discovery call, once scope and priorities are agreed. Time zone overlap with Pacific hours is built into the schedule.
Share the product idea, target users, AI or integration needs, and first release timeline. We will suggest a practical next step within 48 hours.