StarSling

What do they actually do

StarSling pulls a developer’s alerts and failures (for example, from GitHub Actions, Sentry, and Vercel) into a single “developer homepage” so engineers don’t have to jump between tools. From that unified list, developers can see open PR checks, exceptions, build failures, and similar items in one place site, github-actions, sentry, vercel, YC.

On an item, the user can trigger “Autofix,” which runs an AI agent to investigate the context and propose a code change. The system then opens a draft pull request in GitHub for human review, and can be kicked off from Slack and reported back into GitHub—so it accelerates triage and patching without auto‑merging to production YC, github-actions, sentry, vercel.

Today the product is in private beta with a waitlist; there isn’t a public self‑serve signup or published customer list yet. The team is booking demos from the waitlist and building out more integrations while they hire to move from prototype to product site, terms, YC, jobs.

Who are their target customer(s)

• Small web engineering teams on modern stacks (GitHub, Actions, Vercel): They lose time switching between Sentry, CI, deploy logs, and repos to understand failures. They want fewer interruptions and one place to fix issues with ready-to-review PRs.
• Platform/DevOps engineers maintaining CI/CD and shared pipelines: They repeatedly apply the same fixes across repos and want to reduce manual, repetitive changes by centralizing detection and standardizing fixes in one workflow.
• On‑call SREs and incident responders: Under time pressure, they spend too long gathering context and crafting safe, reproducible changes. They want faster investigation and draft PRs they can validate and ship.
• Engineering managers and team leads: Teams lose velocity to context switching and alert noise. They want the highest‑impact issues surfaced and engineers receiving draft fixes, not raw alerts.
• Developer productivity/internal tooling owners: They aim to build an internal portal that automates triage and small fixes. They need an extensible, model‑agnostic system that runs across alert sources without locking into a single vendor.

How would they acquire their first 10, 50, and 100 customers

• First 10: White‑glove pilots with teams already using GitHub Actions, Vercel, and Sentry. Founders book demos from the waitlist, do hands‑on setup, run Autofix on real failures, and deliver draft PRs to show immediate time saved site, YC, github-actions.
• First 50: Package short paid pilots (30–90 days) with a checklisted onboarding and three repeatable playbooks for common failure patterns. Drive via targeted outreach to platform/DevOps owners, referrals, and a couple of technical partnerships to ease integrations mastra blog, sentry.
• First 100: Open a streamlined private beta with self‑serve onboarding, clear security/model‑key docs, and in‑product templates for common CI/Sentry/Vercel fixes. Amplify with case studies, marketplace listings/integrations, and a referral/credits program site, vercel, YC.

What is the rough total addressable market

Top-down context:

StarSling’s broad ceiling is the developer operations market anchored in GitHub’s ecosystem: GitHub reports 180M+ developers building on the platform as of 2025, and Sentry states 4M developers across 150K organizations use its monitoring tools—both indicating large adoption of the underlying stack GitHub Octoverse 2025, Sentry About.

Bottom-up calculation:

As an initial wedge, target Sentry-using orgs that also run modern CI on GitHub: assume 20% of Sentry’s 150K orgs (≈30K) are a good fit; with 10 engineer seats per team and a $30/seat/month price, the initial TAM is ≈$108M ARR.

Assumptions:

• 20% of Sentry’s 150K orgs have the modern GitHub CI + web stack profile StarSling targets Sentry About.
• Average customer has ~10 active engineering seats tied to CI/observability workflows.
• Pricing around $30 per engineer per month for unified inbox + Autofix agents.

Who are some of their notable competitors

• Sentry: Error and performance monitoring with deep GitHub integration; they already link errors to commits/PRs and have explored AI “Suggested Fix” flows that can create PRs—overlapping with StarSling’s autofix surface Sentry GitHub integration, Suggested Fix discussion.
• GitHub (Dependabot + Actions): Native repo automation surface. Dependabot and Actions routinely open automated PRs, and teams script CI/triage workflows directly in Actions, reducing the need for a separate portal Dependabot, Automating Dependabot with Actions.
• Backstage (open‑source): Extensible internal developer portal framework used to build a unified “home” for services, CI status, docs and plugins. Overlaps on developer homepage but is a platform to build on, not an out‑of‑the‑box AI autofix agent Backstage overview, Software Catalog.
• OpsLevel: Commercial internal developer portal/service catalog that aggregates data from monitoring, CI and repos, offers checks/scorecards and self‑service actions for platform teams—competes on the “single pane” but not primarily on AI autofix Product overview, Service ownership/actions.
• PagerDuty: Incident and alert management that consolidates and routes alerts with noise reduction and on‑call workflows; overlaps on aggregation/triage but focuses on incident response rather than generating draft code fixes Alert grouping, Incident management.