PAIN TRIGGERS
Companies using overly broad language in IP assignment agreements that improperly sweep in pre-employment creations.
HR departments stonewalling or discouraging employees from listing prior inventions on exclusion schedules.
SaaS· software engineersPain 8.00/10WTP 7.0/10Market 7.0/10Validation 9.0Confidence 95%Sep 5, 2026
PriorIP: Verified IP Exclusion Schedule Generator for Tech Employees
Employers forcing overly broad retroactive IP assignment agreements that claim ownership over pre-existing personal software projects developed years before employment, while HR stonewalls modifications.
automationcompliancedevtoolslegalsaassoftware-engineersworkflow
1
STAGE 01 · PROBLEM
Is the problem real?
CANONICAL PROBLEM
Employers forcing retroactive IP assignment agreements that claim ownership over pre-existing personal software projects developed years before employment.
FREQUENCY
Multiple repeated complaints in the post and comments.
INTENSITY
Users explicitly describe existing tools as bloated/overkill and mention workaround behavior.
EVIDENCE
Employer wants me to sign an IP agreement saying they own software I wrote two years before I started working there
legaladvice24636
Employer wants me to sign an IP agreement saying they own software I wrote two years before I started working there
legaladvice24636
2
STAGE 02 · CUSTOMER
Who feels this pain?
TARGET USERS
software engineersSoftware Engineers
Engineers with side projects or open-source repositories trying to safely carve out pre-existing intellectual property during onboarding.
Context
Protect ownership of pre-existing personal software projects while maintaining employment status and ensuring legal compliance.
Preserving rigorous digital paper trails (git histories, wayback machine archives, domain registration records) to prove creation dates predating employment.
Bypassing HR to contact internal legal or external employment attorneys directly for clarity.
Current Workarounds
preserving rigorous digital paper trails including git histories and domain records
bypassing HR to contact internal legal or external employment attorneys directly
3
STAGE 03 · MARKET
Where's the gap?
EXISTING SOLUTION GAPS
Standard HR onboarding and IP forms lack flexibility for employees to safely declare pre-existing IP without facing bureaucratic hurdles or pressure.
HR departments often give uniform, dismissive pushback ('agreements are standard') instead of addressing valid legal exemptions or clarifying ownership explicitly.
OPPORTUNITY & VALUE
Why Now
Multiple commenters noted identical experiences with overly broad retro-active IP clauses and rigid HR departments stonewalling modifications.
Value Proposition
Purpose-built specifically for software developers dealing with digital asset pre-employment exclusions rather than generic legal document templates.
Product Direction
A streamlined legal-tech tool that scans personal GitHub/GitLab repositories, generates a verifiable, cryptographically timestamped Exhibit A / Prior Inventions disclosure schedule, and provides guidance for pushing back against broad HR boilerplate safely.
4
STAGE 04 · BUSINESS
How does it make money?
MONETIZATION
$29one-timePer contract negotiation cycle
Model
SaaS subscription
WILLINGNESS TO PAY
Users facing potential loss of valuable side projects or equity will gladly pay a nominal legal-tech fee to ensure ironclad protection, avoiding hundreds of dollars in hourly attorney fees.
5
STAGE 05 · EXECUTION
How do you ship it?
MVP PLAN
“Lock down ownership of your pre-existing code before Day One.”
A streamlined legal-tech tool that scans personal GitHub/GitLab repositories, generates a verifiable, cryptographically timestamped Exhibit A / Prior Inventions disclosure schedule, and provides guidance for pushing back against broad HR boilerplate safely.
Core Features
GitHub/GitLab repository audit to generate a comprehensive list of pre-employment projects
Cryptographic timestamping and export of verifiable Prior Inventions exclusion schedules
Playbook and template responses for navigating HRpushback on contract modifications
Weekly Roadmap
1
W1-W2
Core repository scanner and exclusion schedule generator built.
- •Build GitHub/GitLab OAuth and repository metadata scraper
- •Implement timestamping logic for commit histories
- •Generate standard Prior Inventions schedule PDF template
2
W3-W4
HR pushback playbook and editing tools completed.
- •Create negotiation playbook and email templates for HR pushback
- •Build user dashboard to manage multiple project disclosures
- •Add secure export functionality for legal records
3
W5
Payment processing and private beta with 10 engineers.
- •Integrate Stripe one-time checkout
- •Onboard 10 software engineers currently negotiating job offers
- •Refine schedule formatting based on user feedback
4
W6
Public launch on hacker news and developer subreddits.
- •Publish launch post on Hacker News and r/cscareerquestions
- •Monitor conversion and fix onboarding drop-offs
- •Establish automated feedback loop for user success stories
Launch Strategy
Target developer communities on Hacker News, Reddit (r/cscareerquestions, r/LocalLLaMA, r/opensource), and X.
RISKS & ASSUMPTIONS
Top Risks
HR pushback on generated forms
Employers may refuse to accept schedules generated by an external software tool instead of standard company addendums.
Liability for legal accuracy
Users might rely blindly on generated schedules without proper legal review, leading to disputes over enforceability.
Low frequency of use
Job changes happen infrequently per individual, requiring a continuous stream of new tech candidates.
6
STAGE 06 · DECISION
Should you build it?
NEED A CLEARER CALL?
Run an Investment Memo to get a structured Go / No-Go verdict, competitor landscape, unit economics, and a 90-day validation roadmap for this opportunity.
Generate an investment memoWhat this score means
This opportunity scores well above the median for ideas surfaced by MonetScope, with a validation sub-score of 9/10 against 2 independently sourced evidence signals. A "strong" rating in this band typically means the pain signal is consistent and recurring across multiple discussions, but one of the three pillars (severity, willingness to pay, or competitor weakness) is somewhat softer than top-tier opportunities. Founders evaluating this should focus customer discovery on the softest pillar first — confirming the gap before committing engineering time to a build.
Why this matters for SaaS founders
It sits at the intersection of "automation", "compliance", "devtools", which makes it relevant to a specific subset of founders rather than a generic horizontal opportunity. SaaS opportunities at this stage tend to win on the strength of their initial wedge — a single workflow that the target user runs every week, where the existing solution is either spreadsheets, a clunky incumbent feature, or a manual process they hate. The build cost is moderate; the distribution cost is everything. The MonetScope pipeline surfaces this category alongside other saas signals, which is why it appears here rather than in a generic "trending ideas" feed.
Scores are derived from real forum discussions across Reddit, Hacker News and X, weighted by evidence volume and signal quality. How scoring works
Frequently asked questions
Is "PriorIP: Verified IP Exclusion Schedule Generator for Tech Employees" a real validated startup idea or just an AI-generated suggestion?
MonetScope does not generate ideas from a language model's imagination. Every opportunity on this site is anchored to specific source posts and comments from real public discussions — typically on Reddit, Hacker News, or X — where actual users describe the pain in their own words. The AI's role is structuring, scoring, and grouping those signals into a navigable opportunity, not inventing the problem.
How recent is the underlying data for automation?
MonetScope's spider pipeline runs continuously and surfaces opportunities as new evidence accumulates. The "Updated" date in the header reflects the most recent re-scoring of this specific opportunity. Most saas opportunities visible in the public catalog draw from discussions in the last 30-60 days; older signals are de-prioritized because user pain shifts faster than most founders assume.
What's the difference between "overall score" and "validation score"?
Overall score is a composite across six dimensions — pain, urgency, willingness to pay, market size, defensibility, and execution ease — designed to give a single number for triage. Validation score is narrower: it asks "how cleanly does the same signal repeat across independent sources?" An opportunity can score high on overall but lower on validation when one or two large discussions dominate the evidence; conversely, validation can be high on a smaller-overall idea where the signal is consistent but the addressable market is modest.