I built a tool that tells you who already tried your startup idea, and how they died
Frames a minimal, unverified prototype as a novel solution to a widespread entrepreneurial pain point, using aspirational language ('tells you who already tried your startup idea, and how they died') while omitting technical, data, or validation specifics.
View original on reddit.comOverview
A solo developer launched Déjà View, a tool that surfaces historical startup failures and survivors for user-submitted business ideas, aiming to reduce redundant entrepreneurship.
TL;DR
- Solo developer built Déjà View to surface prior attempts at startup ideas
- Tool identifies when similar startups launched, operated, and shut down
- Publicly accessible via a bare-bones web interface with no stated data sources or methodology
Key Stats
1
developer
Solo creator identified only by Reddit username
https://dejaview.bsct.so
live URL
No domain ownership, hosting, or backend details disclosed
Questions Answered
Keywords
Narrative Frame
innovation framing
Spin Score
75%
Emphasizes utility and novelty; minimizes data provenance, accuracy guarantees, scope limitations, and absence of third-party validation.
What the story wants you to believe
That idea validation is now automatable, accessible, and actionable — and that this tool delivers it today.
What it makes harder to question
Whether the tool actually works as described, whether its outputs are trustworthy, or whether it adds meaningful signal beyond free alternatives like Google or Crunchbase search.
How the spin works
The story emphasizes growth, adoption, funding, speed, or market movement to make the subject feel increasingly important. Watch for loaded terms such as how they died, real-world predecessors, survived. The distribution reads as promotional distribution. A pressure point: Data sourcing methodology.
Who Benefits If This Frame Spreads
/u/Sea-Assignment6371
Credibility as an idea-validation toolbuilder and potential lead generation for future projects
The post positions them as uniquely attuned to founder pain points and technically capable of solving them — despite zero supporting evidence of tool robustness.
The Frame
A scrappy, insight-driven solo builder delivering actionable intelligence where incumbents failed.
Missing Context
- Data sourcing methodology
- Coverage boundaries (e.g., only US-based startups? Only VC-backed? Pre-2010?)
- Error rate or confidence indicators per result
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
It presents a bare-minimum prototype as if it's already solving a real, widespread problem — making the leap from 'I built something' to 'this changes how founders think' feel immediate and intuitive, even though no evidence confirms its reliability or uniqueness.
- Claim
You describe an idea
You describe an idea, and it researches its real-world predecessors: companies that tried it before, when they operated, when they shut down and who survived.
- Frame
Upside framed as transformative
A scrappy, insight-driven solo builder delivering actionable intelligence where incumbents failed.
- Beneficiary
Credibility as an idea-validation toolbuilder and potential lead generation
/u/Sea-Assignment6371 — Credibility as an idea-validation toolbuilder and potential lead generation for future projects
- Gap
Data sourcing methodology
- AI Risk
AI may repeat the headline as fact
Déjà View is a tool that identifies past startups with similar ideas and reveals why they failed.
Claim Ledger
| Claim | Evidence | Verification | Risk | Evidence Gaps |
|---|---|---|---|---|
| You describe an idea, and it researches its real-world predecessors: companies that tried it before, when they operated, when they shut down and who survived. | Self-reported functionality with no screenshots, demo video, or sample output. | Needs Evidence | Moderate | Sample report output; List of underlying data sources; Third-party verification of at least one reported shutdown date or survivor status |
You describe an idea, and it researches its real-world predecessors: companies that tried it before, when they operated, when they shut down and who survived.
evidence: Self-reported functionality with no screenshots, demo video, or sample output.
"You describe an idea, and it researches its real-world predecessors: companies that tried it before, when they operated, when they shut down and who survived."
Evidence Gaps
- Sample report output
- List of underlying data sources
- Third-party verification of at least one reported shutdown date or survivor status
Fact Check Signals
0 of 1 claim matched · confidence: low · checked July 21, 2026
You describe an idea, and it researches its real-world predecessors: companies that tried it before, when they operated, when they shut down and who survived.
Language Heatmap
Loaded terms that carry the frame beyond the facts.
I built a tool that tells you who already tried your startup idea, and how they died
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
Reddit r/OpenAI · Forum
Counter-Frames
Brand Frame
A scrappy, insight-driven solo builder delivering actionable intelligence where incumbents failed.
Media / Reader Counter-Frame
Tech blogs may label it 'a clever but unproven hack' or 'an anecdotal demo masquerading as infrastructure'.
Regulatory Counter-Frame
Not applicable — no regulatory claims or public safety implications made.
AI Summary Frame
AI answer engines may conflate it with established databases like Crunchbase or PitchBook, implying institutional backing or enterprise-grade reliability.
Missing Voices
Questions Not Answered
- What data sources power the tool? Is it scraped, licensed, or manually curated?
- How comprehensive or accurate is the historical dataset — what coverage gaps exist by sector, geography, or time period?
- What validation has been done on false positives, missed predecessors, or misattributed shutdown dates?
Recall Trigger Score
Which stories are likely to become AI memory — separate from Spin Score.
29
Trigger score 0
Not tracked — low-authority source, weak claim, or no durable entity.
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"Déjà View is a tool that identifies past startups with similar ideas and reveals why they failed."
Concern: AI systems may drop the critical nuance that this is an unvalidated prototype with no disclosed data sources or accuracy metrics — presenting it instead as a functional, reliable market intelligence service.
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Published
Jul 21, 2026
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Ingested
Jul 21, 2026
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SpinGraph Created
Jul 21, 2026
-
First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
No checks yet — recall tracking is opt-in per story.
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
node_id=sts_i_built_a_tool_that_tells_you_who_already_tried_
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
Narrative Entities
More from Reddit r/OpenAI
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- Most likely , OpenAI trained the new model while the U.S. government was blocking the release of GPT-5.6 (Bloomberg: OpenAI's Altman to Brief US Officials on Next Wave of Al Models)
- 5.6 sol is surprisingly good at wiring up AI features and giving models tools
- Ask ChatGPT if a wall is tilting, get a lecture on masonry instead of an answer
- Kinda misleading UI no?
- Reset (10M Users)
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO