{
    "schema_version": "domain-idea-export/v1",
    "exported_at": "2026-06-15T06:04:09+00:00",
    "source": {
        "app": "lobby.domains",
        "url": "https://lobby.domains/domains/justfill.io/idea"
    },
    "domain": {
        "domain": "justfill.io",
        "label": "justfill",
        "tld": "io",
        "angle": "Story name",
        "why": "Conveys simplicity and justice in form completion.",
        "last_seen_at": "2026-05-20T05:44:54+00:00"
    },
    "idea": {
        "name": "JustFill",
        "tagline": "Fill out your trial's carbon story, effortlessly.",
        "summary": "JustFill is a carbon accounting workflow SaaS for decentralized clinical trials. It guides coordinators through a simple form to report emissions, automatically pulling data from calendars (travel), supplier networks (equipment), and geospatial analytics (site energy). AI policy search ensures the report aligns with the latest standards, turning a painful consultancy invoice into a few clicks.",
        "domain_fit": null,
        "audience": {
            "selected": "Coordinators of community-run clinical trials, small-to-mid-size research organizations, and academic medical centers conducting decentralized or site-based studies.",
            "selection_reasoning": null,
            "research_summary": null,
            "candidates": []
        },
        "problem": {
            "statement": "Community-run clinical trial coordinators face increasing pressure to report and reduce the carbon footprint of their trials, but existing solutions are either too complex (requiring sustainability experts) or too generic (ignoring clinical trial specifics). They waste weeks on manual data collection and risk non-compliance with emerging environmental regulations.",
            "selected_reasoning": null,
            "candidates": []
        },
        "solution": {
            "description": "Integration of calendar APIs to auto-capture travel distances and modes; a supplier network API to retrieve product carbon footprints (e.g., lab kits, devices); geospatial analytics to estimate site-specific energy emissions; and an AI policy search engine that cross-references the completed form against current regulatory frameworks (e.g., NIH Climate Action, EMA environmental guidance).",
            "core_value_proposition": "Reduces carbon reporting effort from weeks of manual work and expensive consultants to under two hours per trial, with built-in compliance assurance and auditable data trails.",
            "point_of_difference": "Purpose-built for clinical research \u2013 not a generic calculator. Pre-populates from trial management tools (calendars, procurement), speaks the language of protocols and CRFs, and adapts to regional policy changes via AI.",
            "killer_features": [
                "One-click calendar import: automatically fills travel emissions from coordinators' and participants' calendar events, suggesting mode of transport (car, flight, rail) and CO2 estimates.",
                "Policy alert: an AI agent scans the completed form and flags any fields where the trial's carbon intensity exceeds local regulatory thresholds, with one-click fix suggestions.",
                "Carbon Story dashboard: a visual timeline of emissions across trial phases (setup, enrollment, monitoring, closeout) with anonymized benchmarks against similar trials in the platform."
            ]
        },
        "market": {
            "market_size": null,
            "market_wedge": null,
            "first_customer_profile": null,
            "why_now": null,
            "buyer_and_sales_motion": null,
            "competitive_landscape": null,
            "market_evidence": [],
            "evidence_review_summary": null,
            "evidence_warnings": []
        },
        "business_model": {
            "economic_engine": "Per-trial subscription fee scaled by trial duration and number of sites; premium tier adds automated data export for funder reports and consulting-grade audit logs.",
            "pricing_assumptions": null,
            "distribution_strategy": null,
            "moat": null,
            "fundability_verdict": null
        },
        "mvp": {
            "scope": null,
            "validation_plan": [],
            "key_risks": [],
            "pros": [
                "Addresses a rapidly growing regulatory and funding requirement for sustainability in clinical research.",
                "Automates data collection from existing calendars and supplier records, minimizing manual input.",
                "AI policy search ensures reports stay compliant without coordinator needing to track changing rules.",
                "Simple 'just fill' UX requires no training, lowering adoption barriers for non-technical coordinators.",
                "Can serve as a gateway to other trial compliance services (e.g., site monitoring, ethics reporting)."
            ],
            "cons": [
                "Initial supplier network coverage may be sparse, requiring early manual entry for some items.",
                "Geospatial emission estimates for energy use rely on average data, which may not capture site-specific variations.",
                "Requires trial coordinators to actively connect calendars and authorize data access, a possible friction point.",
                "Per-trial subscription fee may feel like an extra cost if carbon reporting is not yet mandatory for the coordinator's funder."
            ]
        },
        "quality_review": {
            "score": null,
            "should_regenerate": false,
            "summary": null,
            "revision_brief": null,
            "scores": [],
            "strengths": [],
            "weaknesses": [],
            "missing_evidence": [],
            "generation_attempts": 1
        }
    },
    "saas_factory_seed": {
        "suggested_project_name": "JustFill",
        "primary_domain": "justfill.io",
        "core_job_to_be_done": "Community-run clinical trial coordinators face increasing pressure to report and reduce the carbon footprint of their trials, but existing solutions are either too complex (requiring sustainability experts) or too generic (ignoring clinical trial specifics). They waste weeks on manual data collection and risk non-compliance with emerging environmental regulations.",
        "target_customer": "Coordinators of community-run clinical trials, small-to-mid-size research organizations, and academic medical centers conducting decentralized or site-based studies.",
        "mvp_scope": null,
        "initial_user_stories_source": [],
        "known_risks": []
    }
}