Scored by real builds. Improving daily.

Every SaaS replacement
makes the next one smarter.

Rip Scores rate every SaaS tool on replaceability (0-100) — powered by real build data from engineering teams. Not analyst opinions. Ground truth. And it compounds with every build.

LaunchDarkly91+4Statuspage89+2Headless CMS88Looker84+6Amplitude82+3Segment79Datadog74+1Auth071Intercom68+5Salesforce62Jira58+2LaunchDarkly91+4Statuspage89+2Headless CMS88Looker84+6Amplitude82+3Segment79Datadog74+1Auth071Intercom68+5Salesforce62Jira58+2
vendor.rip
Rip Score
84
High Replaceability
Tool Looker
Category BI / Analytics
Savings $150k/yr
Build Time 2-3 weeks
Replacement Stack
ReactrechartsBigQueryNext.jsTailwind
Build Plan
Set up Next.js project with BigQuery connectionDay 1-2
Build core dashboard components with rechartsDay 3-7
Implement filters, drill-downs, and sharingDay 8-12
Deploy, test, and migrate data pipelinesDay 13-15
Agent Handoff
npx skills add vendor-rip/rip

Scores that get smarter
with every build

Every team that replaces a SaaS tool and shares the outcome makes vendor.rip more accurate for the next team. Not surveys. Not analyst opinions. Observed build data from real engineers.

01

You get a score

Rip Score powered by community data — real build times, real error rates, real savings.

02

You build it

Hand off to any AI agent. The skill guides the build and observes what actually happens.

03

Your outcome feeds back

Build time, stack used, gotchas hit — observed automatically, shared with one click.

04

Next score improves

Next team gets better estimates, better stack recommendations, better gotcha warnings.

LOOPS BACK TO STEP 01
Analyst report
“Estimated 2-3 weeks”
Skill-observed
6.2 hours across 3 days

After 100 builds per tool, vendor.rip knows the real numbers. A competitor starts at zero.

Every rip makes the next
one smarter.

Every Tesla on the road trains Autopilot for all the others. Every rip sharpens the scores for the next team. Anonymized metadata only — never your code, never your data.

Rips completed
0
LookerLOW
Rip Score
Build time
Stack
Gotcha #1
Gotcha #2
Pattern
Leverage
This is what 47 rips taught us about Looker.
Imagine what 10,000 will teach us about yours.
Teams share anonymized build metadata — stack, timeline, gotchas. Never code, never data. The more teams share, the smarter the scores get.
YOUR OUTPUT IN 3 MINUTES

A scorecard you can act on.
Not another report to read.

Tell us the tool, answer 2-3 structured questions, get a personalized scorecard. Then hand it to any AI coding agent — it picks up where we left off.

01 · ASK

Name a tool. Answer 3 questions.

Which tool, what features you use, what you spend. The advisor asks structured questions and hits bedrock in 2-3 turns — no freeform loops.

60 secondsStructured inputAny SaaS tool
vendor.rip advisor

Which tool are you evaluating?

We pay $150k/yr for Looker. 3 engineers, mostly dashboards.

Which features do you actually use?

DashboardsSQL ExplorerAlerts
Calculating Rip Score...
Tell me about your stack...
GENERATES
02 · SCORE

Get your Rip Score
and build plan.

A shareable scorecard with Rip Score, feature-by-feature breakdown, recommended stack, timeline, and cost comparison. Grounded in real build data where available.

Shareable URLFeature breakdownCost analysis
/scorecard · Looker
✓ VerifiedShare →
RIP SCORE
84
BUILD
8.5d
SAVINGS
$148k
BEFORE
$150k/yr
AFTER
$2k/yr
HAND OFF
03 · BUILD

Hand off to any AI agent.
It already knows the gotchas.

One command installs the vendor.rip skill into Claude Code, Cursor, Copilot, Windsurf, or 30+ others. Your agent doesn't start from zero — it builds with fleet intelligence: the winning stack, known pitfalls, and patterns from every team that ripped this tool before you.

Fleet-informed builds30+ agentsYou own the code
~/my-project
npx skills add vendor-rip/rip
Skill installed
 
/vendor-rip vrip_h_abc123...
Picking up: Looker (score 84, 47 rips)
Fleet: recharts + BigQuery (81%), 6.2d avg
Gotcha: LookML permissions — skipping
Building: data layer (BigQuery + SQL)
Building: chart components (recharts)
 
47 teams informed this build. You review every line.
LOOPS BACK TO STEP 01

SaaS Ripability Index

Rip Scores from verified builds + public data · Click any row to get a personalized assessment
#ToolReplaced WithScoreSavings / yrBuildTrend
1
LaunchDarkly
Feature Flags
34 verified builds
env vars + config DB
91
Up to $50k/yr3 days +4
2
Statuspage
Status Pages
62 verified builds
next.js + uptime check
89
Up to $30k/yr1 day +2
3
Headless CMS
Content Mgmt
8 verified builds
custom-built alternative
88
$200k/yr
4
Looker
BI / Analytics
47 verified builds
recharts + BigQuery
84
Up to $150k/yr2-3 weeks +6
5
Amplitude
Product Analytics
28 verified builds
posthog / clickhouse
82
Up to $80k/yr1-2 weeks +3
6
Segment
CDP
15 verified builds
rudderstack oss
79
Up to $120k/yr2-3 weeks
7
Datadog
Monitoring
15 verified builds
otel + grafana
74
Up to $200k/yr2-3 weeks +1
8
Auth0
Authentication
22 verified builds
supabase auth
71
Up to $40k/yr1-2 weeks
9
Intercom
Support Chat
11 verified builds
custom + LLM
68
Up to $80k/yr3-4 weeks +5
10
Salesforce
CRM
9 verified builds
next.js + supabase
62
Up to $500k/yr6-12 weeks
11
Jira
Project Mgmt
19 verified builds
linear / custom
58
Up to $50k/yr3-4 weeks +2
Build reportsReal replacements from real teams
Verified$50k/yr
Looker → recharts + BigQuery
1.5 wks · 1 eng · Founding team
AI-Built$500k eq
C Compiler — 16 Claude Agents
2 wks · 16 agents · Nicholas Carlini
Verified$163k/yr
Datadog → OTel + Grafana
2.3 wks · 2 engs · Sarah Chen
Verified$42k/yr
Amplitude → PostHog self-hosted
3 wks · 3 engs · Mike Rodriguez
View all on GitHub →
Building?
Get a scorecard + build plan
Rip Score, feature breakdown, recommended stack, cost analysis. Hand it off to any AI coding agent to start building.
Negotiating?
Use the data as leverage
Rip Scores quantify how replaceable a tool is. Use that in your next renewal call — or share the scorecard with your CFO.
Community-powered intelligence

The community is the product.

Every Rip Score is calibrated by real engineering teams who shipped replacements and shared what they learned. More builders. Better data. Smarter scores.

Build times
Observed from real sessions
“~2 weeks”
6.2 hrs / 3 days
Stack patterns
Which stacks work, ranked by success
recharts + BigQuery: 94% success
Gotcha warnings
What went wrong for other teams
“Event migration painful — batch import first”
Real savings
Verified cost reductions
Median Looker replacement: $148k/yr saved
Join the builder network
200+
tools scored with Rip Scores
107
verified build reports indexed
5
data pillars per Rip Score

From evaluation to
production

200+ tools scored

Every major SaaS tool rated on replaceability with verified community data.

Stack Scanner

Paste your SaaS stack and get an instant portfolio assessment with total savings.

Agent handoff

One command installs the skill into Claude Code, Cursor, or any AI coding agent.

Build plans

Step-by-step migration plans with timelines, costs, and recommended tech stack.

Cost calculator

See exactly what you spend vs. what it costs to build and maintain.

Open source

Community-validated data from real engineering teams who shipped replacements.

The numbers speak
for themselves

$2T+
SaaS market cap repriced since late 2025
200+
Tools scored with Rip Scores
$50k
Saved replacing Looker (founding story)
$682k
Saved by Lee Robinson replacing CMS (3 days)

Real teams. Real savings.

Browse real SaaS replacements by real engineering teams. See what they built, how long it took, and what they saved. Fork any approach.

94 rips shared45 tools replaced$4.7M total saved59% success rate
SUCCESSBlog

Migration ServicesClaude Code

Claude Code
3.0 months$2.0M saved

A legacy fintech firm ported 200,000 lines of COBOL to Python in three months using headless Claude Code sessions, avoiding a $2M migrati…

From curated research synthesis — individual claims should be independently verified No company name — large cost claim is unverifiable
Fork this approach →
SUCCESSBlog

Sales SDR/AE SaaS stackAI agents + Salesforce

AI agentsSalesforce
10 engs$1.5M saved

Jason Lemkin ('Godfather of SaaS,' SaaStr founder) replaced most of his sales team with AI agents. Went from 10 human SDRs/AEs to 20 AI a…

Jason Lemkin is THE highest-authority voice in SaaS — SaaStr is the industry's defining community This is role replacement (sales team), not SaaS tool replacement — maps to role.rip
Fork this approach →
SUCCESSBlog

Headless CMSMarkdown + TypeScript/TSX + Next.js + Object Storage + Cursor

MarkdownTypeScript/TSXNext.jsObject StorageCursor
3 days1 eng$682k saved

Lee Robinson (VP Product/DX, Vercel) migrated a major production website from a headless CMS back to raw code + Markdown using AI coding …

Lee Robinson is VP Product/DX at Vercel — extremely high-profile in React/Next.js ecosystem $56,848/mo CDN cost is shockingly high — CMS vendor profiting from bandwidth billing
Fork this approach →
SUCCESSX

_multiple_toolscustom built

custom built
$250k saved

Claims replacement tools work better than the SaaS products they replaced, and don't cost '$250 grand a year'. Strong positive sentiment.

$250K figure may be rhetorical rather than exact personal spend No specifics on which tools replaced
Fork this approach →
SUCCESSBlog

AI Legal SaaSAI agents

AI agents
$120k saved

Juma uses AI agents to scan contracts for 'missing clauses,' replacing $10k/mo AI Legal SaaS suites.

From curated research synthesis — individual claims should be independently verified Named company but no direct source link to company announcement
Fork this approach →
SUCCESSX

_multiple_toolscustom built + Cursor

custom builtCursor
2 days$47k saved

Hired an intern who built entire ops stack in a weekend with Cursor. $47K/year SaaS budget replaced. 'Now vibes and API calls.'

Built by an intern — implies low complexity ops needs Weekend build = likely small team / early stage
Fork this approach →

Common questions

Know before you renew.

Enter your top 3 vendors — we’ll send you their replaceability score + the best alternative when your renewal is approaching.

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