How a 10-Person Startup Saved $50K/Year with Open Source

This is a composite case study based on real startup stacks. Here's how a 10-person team replaced $54K/year in SaaS with self-hosted tools for under $2K.

The Starting SaaS Stack

A typical 10-person B2B SaaS startup paying for:

Tool	Plan	Monthly Cost
Slack Business+	$15/user	$1,500/year
Jira Premium	$16/user	$1,920/year
Notion Business	$18/user	$2,160/year
Figma Professional	$15/user	$1,800/year
Intercom Starter	$39/seat (5)	$4,680/year
Calendly Teams	$12/user	$1,440/year
Mailchimp Standard	—	$2,400/year
1Password Business	$8/user	$960/year
Datadog Pro	$15/host (5)	$1,260/year
Zapier Pro	—	$3,588/year
Zoom Business	$13.33/user	$1,600/year
Google Workspace Business	$14/user	$1,680/year
HubSpot Starter	$20/user (5)	$1,200/year
Sentry Team	—	$312/year
Vercel Pro	$20/user (5)	$1,200/year
GitHub Team	$4/user	$480/year
Auth0 Essentials	—	$276/year
Linear	$8/user	$960/year
Postman Team	$14/user	$1,680/year
Loom Business	$15/user	$1,800/year
Total		$30,896/year

Add growth from 10 → 15 users over the year: ~$54,000/year projected.

The Migration Plan

Phase 1: Quick Wins (Week 1)

Replace	With	Annual Savings
1Password → Vaultwarden	Self-hosted	$960
Calendly → Cal.com	Self-hosted	$1,440
Uptime/monitoring → Uptime Kuma	Self-hosted	Free (new)
Postman → Hoppscotch	Self-hosted	$1,680

Phase 1 savings: $4,080/year Setup time: 4 hours

Phase 2: Communication (Week 2-3)

Replace	With	Annual Savings
Slack → Mattermost	Self-hosted	$1,500
Zoom → Jitsi Meet	Self-hosted	$1,600

Phase 2 savings: $3,100/year Setup time: 6 hours

Phase 3: Project Management (Month 1)

Replace	With	Annual Savings
Jira/Linear → Plane	Self-hosted	$2,880
Notion → Outline	Self-hosted	$2,160

Phase 3 savings: $5,040/year Setup time: 8 hours (including data migration)

Phase 4: Business Tools (Month 2)

Replace	With	Annual Savings
Intercom → Chatwoot	Self-hosted	$4,680
Mailchimp → Listmonk	Self-hosted	$2,400
HubSpot → Twenty	Self-hosted	$1,200
Zapier → n8n	Self-hosted	$3,588

Phase 4 savings: $11,868/year Setup time: 12 hours

Phase 5: Dev Tools (Month 3)

Replace	With	Annual Savings
Sentry → GlitchTip	Self-hosted	$312
Datadog → Grafana + Prometheus	Self-hosted	$1,260
Vercel → Coolify	Self-hosted	$1,200
Auth0 → Keycloak	Self-hosted	$276

Phase 5 savings: $3,048/year Setup time: 10 hours

Tool	Why	Annual Cost
Google Workspace	Email + Drive, no good self-hosted email	$1,680
GitHub	Git hosting, CI/CD, team workflows	$480
Figma	Collaboration quality unmatched	$1,800

The New Stack Cost

Infrastructure

Component	Monthly	Annual
Hetzner CX32 (8 GB) — main services	$7	$84
Hetzner CX22 (4 GB) — monitoring + CI	$4.50	$54
Backblaze B2 backups	$3	$36
Domains (3)	$3	$36
SES email sending	$2	$24
Infrastructure total	$19.50	$234

Time Investment

Activity	Year 1	Year 2+
Setup (40 hours × $75/hr)	$3,000	—
Maintenance (3 hours/month × $75/hr)	$2,700	$2,700
Time total	$5,700	$2,700

Total New Cost

Category	Year 1	Year 2+
Remaining SaaS	$3,960	$3,960
Infrastructure	$234	$234
Time	$5,700	$2,700
Total	$9,894	$6,894

The Results

Financial

Metric	Before	After (Year 1)	After (Year 2+)
Annual cost	$54,000	$9,894	$6,894
Annual savings	—	$44,106	$47,106
Savings %	—	82%	87%

Year	SaaS (5% increase)	Self-Hosted	Cumulative Savings
1	$54,000	$9,894	$44,106
2	$56,700	$6,894	$93,912
3	$59,535	$6,894	$146,553
4	$62,512	$6,894	$202,171
5	$65,637	$6,894	$260,914

Non-Financial Benefits

Full data ownership and GDPR compliance
No vendor lock-in on critical tools
Faster onboarding (no per-seat decisions)
Custom integrations between self-hosted tools
Team learned infrastructure management

Challenges Encountered

Week 1: Team resisted leaving Slack (resolved after 2-week adjustment)
Month 1: Outline missing some Notion features (accepted trade-off)
Month 2: n8n automation setup took longer than Zapier equivalent
Month 3: Grafana learning curve steeper than Datadog (used community dashboards)

Key Lessons

Migrate in phases — Don't switch everything at once
Keep what works — Figma, GitHub, Google Workspace were worth keeping
Quick wins build momentum — Start with easy switches (Vaultwarden, Cal.com)
Budget for learning — First month is slower, then it accelerates
Share infrastructure — One PostgreSQL, one Redis, one Caddy for everything

The Bottom Line

A 10-person startup went from $54K/year in SaaS to $7K/year with open source — saving $47K annually (87% reduction). Over 5 years, that's $260K back in the business.

The migration took 3 months of gradual rollout and 40 hours of setup time. Year 2+ maintenance: 3 hours/month.

What the Numbers Don't Show: Cultural Shift

The financial table above captures the quantifiable savings. What it does not capture is the organizational change that made those savings sustainable.

When this team migrated from Slack to Mattermost, the first two weeks were rough. Engineers who had built muscle memory around Slack's keyboard shortcuts, integrations, and notification patterns found Mattermost unfamiliar. There were complaints, and there was real productivity friction. The team's technical lead had anticipated this and communicated it proactively: "We're going to be slower for a few weeks. That's the cost of a migration. By month three, we won't remember the difference."

That prediction proved accurate. By week six, the team had customized Mattermost to match their Slack workflows, and two engineers who had been most resistant became advocates because they appreciated the control — custom emoji, custom notification sounds, and the ability to add integrations without being blocked by vendor app review processes.

This pattern repeated across every migration. The initial friction was real and predictable. The long-term adoption was consistently higher than expected, partly because self-hosted tools have no artificial feature limits based on plan tiers, and partly because engineers who understand their own infrastructure feel more ownership over it.

The maintenance budget (3 hours/month estimated, 2–4 hours actual) represents a different kind of work than typical engineering tasks — it is operational rather than creative. Some engineers find this work satisfying; others find it a distraction. Teams that treat infrastructure maintenance as a rotation (each engineer takes one month on call for the self-hosted stack) typically do better than teams where one person is implicitly responsible for everything.

Choosing What Not to Self-Host

The "What They Kept" table is as important as the migration list. The decision to keep Google Workspace, GitHub, and Figma was not arbitrary — it reflects a considered view about where self-hosting creates value and where it does not.

Google Workspace is kept because email is critical infrastructure where deliverability, spam filtering, and calendar interoperability genuinely require the resources of a major provider. Self-hosting an email server is possible (tools like Mailcow and Stalwart cover the technical requirements) but the operational cost — managing IP reputation, handling SPF/DKIM/DMARC, monitoring for blacklisting — is disproportionate to the savings. Email is where "it just works" is worth paying for.

GitHub is kept because the value is not just the Git hosting — it is the CI/CD ecosystem, the issue tracker deeply integrated with code, the code review experience, and the network effects (open source contributors expect GitHub). Gitea or Forgejo can replace the Git hosting, but the ecosystem would need to be rebuilt from scratch.

Figma is kept because the collaborative design experience it provides is genuinely unmatched. Penpot is a capable open source alternative for some use cases, but the real-time multiplayer design collaboration that Figma offers — where designers, engineers, and product managers can work on a design simultaneously with each other — is not yet replicated at the same quality level by any open source option.

A useful mental model for these decisions: evaluate each tool against three criteria. First, how much operational burden does self-hosting add? Tools like Plausible and Listmonk require almost no maintenance once deployed; tools like Keycloak or email servers require ongoing attention. Second, what is the privacy and compliance value of keeping the data on your own infrastructure? For customer email addresses and behavioral analytics, the case for self-hosting is strong. For code and design files, it is weaker. Third, what would the migration path look like if the SaaS provider raised prices or shut down? Tools with standard export formats and good data portability are safer bets regardless of hosting model.

This selectivity is important: the goal is not to self-host everything, but to self-host where self-hosting creates value. Applied to the tools this team kept: Google Workspace at $12/user/month for a team where email deliverability directly affects customer relationships is worth paying for. GitHub at $4/user/month for a company whose core asset is code is reasonable. Figma at $12/user/month for a 10-person team is $1,440/year — significant, but less than the engineering cost of managing a self-hosted Penpot deployment that requires ongoing maintenance alongside the rest of the self-hosted stack. The evaluation framework from the enterprise open source evaluation guide provides a systematic way to make these keep-vs-migrate decisions for any specific tool. And the complete business stack guide shows how a fully self-hosted stack looks at steady state for a team committed to the approach.

For teams in earlier stages evaluating whether to start with self-hosting from day one, the startup open source stack from zero to launch covers the phased approach that avoids the migration burden entirely.

Build your own OSS stack at OSSAlt — find alternatives for every SaaS tool.

How a Startup Saved $50K/Year with Open Source 2026