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yuki yama
yuki yama

Posted on • Originally published at yamachampion.com

AI Grant Matchmaker for Nonprofits: Automate Funding Research and Earn $500–$2,000/Month

Please note: All earnings mentioned are illustrative simulations.

AI Grant Matchmaker for Nonprofits: Automate Funding Research and Earn $500–$2,000/Month

Overview
You will build a high-ROI, low-maintenance service that continuously discovers grants for local nonprofits and delivers concise, ready-to-apply briefs every week. The engine is Manus AI for extraction and generation, plus lightweight scraping and automation. Sell subscriptions at $99–$249 per organization per month. At 5–8 clients, you’re at $500–$2,000/month in MRR with 5–7 hours/week of work.

Core stack

  • Manus AI (content extraction, scoring, brief generation, emails)
  • Apify/Browserless (weekly scraping of grant portals)
  • Google Sheets (data hub and reports)
  • Gmail (delivery)
  • Zapier (glue automations)

Manus invitation link (use this to create your workspace now): https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link

What nonprofits get

  • Weekly: A shortlist of 3–10 matched grants scored for fit, with 1-page briefs per grant.
  • For each grant: A 1-page brief, an application checklist, links to the opportunity and forms, and prewritten outreach emails (to funder and to internal stakeholders).
  • Monthly: A pipeline overview (applied/awarded/declined), plus suggested next actions.

Pricing

  • Basic ($99/month per org): Up to 5 new matched grants/week, briefs and checklists, 1 outreach email template/week.
  • Standard ($179/month per org): Up to 10 new matched grants/week, briefs and checklists, 2 outreach email templates/week, monthly pipeline report.
  • Pro ($249/month per org): Up to 15 new matched grants/week, briefs and checklists, 3 outreach email templates/week, monthly call, priority requests.

Delivery cadence

  • Scraping: Weekly (Monday 6:00 AM local), plus ad-hoc runs for time-sensitive calls.
  • Email to client: Mondays by 9:30 AM.
  • Monthly summary: First business day of the month.

Step-by-step setup (end-to-end)

Step 1: Create your central data hub (Google Sheets)
Create a single Google Sheet with these tabs:

  • Clients
    • Columns: client_id, org_name, mission_keywords (comma-separated), service_area (city/region), org_size_annual_revenue, staff_count, preferred_funders, exclusions (e.g., “no state funds”), contact_name, contact_email, delivery_tier (Basic/Standard/Pro), start_date.
  • Grant Feeds
    • Columns: feed_id, source_name, url, frequency (weekly), scrape_method (Apify or Browserless), requires_login (Y/N), allowed_by_terms (Y/N), notes.
  • Raw Listings
    • Columns: listing_id, feed_id, scraped_at, title, listing_url, pdf_url, html_blob, pdf_blob (optional), close_date_text, status (new/processed).
  • Extracted Fields
    • Columns: listing_id, funder_name, program_name, region_eligibility, mission_focus, award_min, award_max, total_pool, match_requirement, eligibility_summary, deadline_date_iso, application_url, requires_LOI (Y/N), reporting_requirements, documents_required (semicolon list), source_confidence (0–1).
  • Client Scores
    • Columns: listing_id, client_id, fit_score (0–100), score_explanation, category (Strong/Moderate/Weak), blockers (if any), recommended_next_step.
  • Briefs
    • Columns: listing_id, client_id, brief_url (Google Doc), checklist_url (Google Doc), outreach_email_to_funder, outreach_email_internal, generated_at.
  • Logs
    • Columns: event_time, event_type, details.

Keep data normalized: Raw Listings never changes; Extracted Fields is stable; Client Scores re-compute when client info changes.

Step 2: Stand up your scrapers (Apify/Browserless)
Goal: Every week, fetch new grant listings from targeted portals; save page HTML and any PDF links.

Tools:

  • Apify: Use ready-made actors for crawling sitemaps and list pages; schedule weekly runs; push results via webhook.
  • Browserless: For headless Chromium with Playwright/Puppeteer when you need to render JavaScript-heavy pages.

Approach:
1) Identify 10–20 grant sources relevant to your city/region:

  • City foundation directories
  • Community foundations
  • Local corporate giving programs
  • State arts/culture/human services portals
  • National databases with regional filters 2) In your Grant Feeds tab, add each with url and scrape_method. 3) For static pages:
  • Use Apify’s generic crawler actor (CSS selectors for “grant” cards or table rows).
  • Extract fields: title, listing_url, pdf_url (if present), close_date_text.
  • Store raw HTML in html_blob (truncate to 50–100 KB if needed). 4) For dynamic pages:
  • Use Browserless with Playwright to render and then query DOM for listing nodes.
  • Scroll pagination; collect results into JSON; include the final rendered HTML for each listing page if feasible. 5) PDFs:
  • Always capture pdf_url if present; no parsing here; Manus will handle content extraction. 6) Compliance:
  • Respect robots.txt, rate limits (2–4 req/s), and site terms. If prohibited, do not scrape; instead, use email alerts or RSS when provided.

Schedule:

  • Set a weekly schedule (e.g., Monday 6:00 AM). All new listings push to a Zapier webhook for processing.

Step 3: Build Manus AI extraction and generation flows
Create a new Manus workspace using the invitation link: https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link

Within Manus:

  • Create a “Grant Extractor” workflow:
    • Inputs: listing_url, html_blob, pdf_url (optional).
    • Instructions: Extract fields into a strict JSON schema (listed below).
    • Attach tool: Web browsing/downloader for PDFs/HTML (Manus Tools), and a rule-based validator to enforce types.
  • Define the JSON schema (use this verbatim in Manus): { "funder_name": "string", "program_name": "string", "region_eligibility": "string", "mission_focus": "string", "award_min": "number|null", "award_max": "number|null", "total_pool": "number|null", "match_requirement": "string|null", "eligibility_summary": "string", "deadline_date_iso": "string|null", "application_url": "string|null", "requires_LOI": "boolean|null", "reporting_requirements": "string|null", "documents_required": "string|null", "source_confidence": "number" }
  • Prompt guidance for extraction (put into Manus System/Developer message):

    • You will read grant listing HTML and/or linked PDFs. Return concise, evidence-based extractions. If a field is not explicitly stated, return null. For award amounts, parse ranges when possible; normalize currency to USD if specified, else leave numeric and note unknown currency in eligibility_summary. deadline_date_iso must be YYYY-MM-DD or null. Set source_confidence between 0.5 and 0.95 proportional to how clearly the value is stated. Do not invent values.
  • Create a “Client Fit Scorer” workflow:

    • Inputs: Extracted Fields JSON + client profile (mission_keywords, service_area, org_size_annual_revenue, exclusions).
    • Output: fit_score (0–100), score_explanation (2–4 bullets), category (Strong >75, Moderate 50–75, Weak <50), blockers (text or null), recommended_next_step.
    • Scoring rubric (paste into Manus prompt): 1) Mission match (0–40): Count overlaps between mission_focus and client mission_keywords. Clear alignment: 35–40; adjacent: 20–34; weak: <20. 2) Geography (0–20): If region_eligibility includes client service_area or state: 15–20; national with no geo restriction: 10–14; outside: <10. 3) Size fit (0–15): Favor grants specifying org size that matches revenue/staff. Penalize misfits by 10–15 points. 4) Deadline/recency (0–15): Near-term deadline (>= 10 days left): +10–15; past due: 0. 5) Administrative burden (0–10): Fewer documents required and no match fund = higher score. Apply exclusions strictly (e.g., “no state funds” => score 0 and set blockers).
  • Create a “Brief + Checklist + Outreach Generator” workflow:

    • Inputs: Extracted Fields + Client Fit result.
    • Outputs:
    • one_page_brief_text (<=500 words),
    • application_checklist (bulleted list),
    • outreach_email_to_funder,
    • outreach_email_internal.
    • Prompt skeleton (paste into Manus): Produce four artifacts for nonprofit staff: 1) 1-Page Brief: Title = [Program Name] by [Funder]. Include: Grant purpose (1–2 sentences), Award range, Key eligibility (3–5 bullets), Deadline/date and time zone, What makes this a fit for ORG_NAME, Links (application_url, listing_url). 2) Checklist: Plain bullets with specific documents and steps, starting with “Confirm eligibility” and ending with “Submit and file confirmation.” 3) Outreach email to funder: 120–160 words, includes 1-sentence mission summary for [ORG_NAME], 2-sentence program alignment, 1 measurable outcome. 4) Internal email to staff: Who needs to do what by when; include deadline and list of documents. Use direct, specific language. No fluff.

Step 4: Wire Zapier automations
Create these Zaps:

Zap A: Scrape → Raw Listings

  • Trigger: Webhooks by Zapier (catch hook) from Apify/Browserless runs.
  • Actions: 1) Filter only if listing_url not already in Raw Listings (use a Google Sheets “Find row” step). 2) Create row in Raw Listings with scraped fields, html_blob, pdf_url.

Zap B: Raw Listings → Manus Extraction → Extracted Fields

  • Trigger: New row in Raw Listings with status = new.
  • Action: Webhooks by Zapier → Manus API (call your “Grant Extractor”).
  • Action: Google Sheets → Create row in Extracted Fields with Manus output; set Raw Listings.status = processed.

Zap C: Client Fit per listing

  • Trigger: New row in Extracted Fields.
  • Action: For each client in Clients, call Manus “Client Fit Scorer” with the listing and client data.
  • Action: Append one row per client into Client Scores.

Zap D: Create content for high-scoring matches

  • Trigger: New row in Client Scores where fit_score >= 70 (or per-tier thresholds).
  • Action: HTTP → Manus “Brief + Checklist + Outreach Generator.”
  • Action: Create Google Doc for brief and checklist (Zapier → Google Docs from template). Insert generated text. Save links to Briefs tab.
  • Action: Gmail → Send email to client contact with PDFs/links; subject “This Week’s Top Grant: Program Name”.

Zap E: Weekly digest

  • Trigger: Schedule: Weekly Monday 9:00 AM.
  • Action: For each client, search Client Scores last 7 days, sort by fit_score desc.
  • Action: Gmail → Send digest with top 3–10 grants and links to briefs.

Optional Zap F: Monthly pipeline report

  • Trigger: Schedule: Monthly Day 1.
  • Action: Search last month’s briefs sent per client; compile summary; email.

Step 5: Configure Google Docs templates
Create two Docs templates for Zapier:

  • 1-Page Brief template
    • Title placeholder: {{program_name}} — {{funder_name}}
    • Sections: Overview, Award, Eligibility, Deadline, Why it fits {{org_name}}, Links.
  • Checklist template
    • Bulleted steps with placeholders for documents_required, match_requirement, reporting_requirements.

Step 6: Client onboarding

  • Intake form (Google Form) that writes to Clients:
    • Org name, mission keywords (3–5), service area (city, county, state), annual revenue, staff count, preferred funders, exclusions, contact details.
  • 72-hour setup SLA: Add the client to the sheet; sanity-check mission keywords; run an initial backfill (search last 30 days of listings).

Step 7: Quality control loop

  • For the first two weeks, manually review 100% of briefs for accuracy and deadline formatting.
  • Track two KPIs per client:
    • Avg fit_score of delivered listings
    • Number of “Strong” matches delivered per week
  • Targets by tier:
    • Basic: 3+ strong matches/month
    • Standard: 6+ strong matches/month
    • Pro: 8–12 strong matches/month

Detailed field definitions and scoring examples

Field normalization notes

  • award_min/award_max: Convert ranges like “$5k–$15k” to 5000, 15000. If “up to $10k,” set award_min = null, award_max = 10000.
  • deadline_date_iso: Parse month names and times; use midnight in the portal’s timezone if none is given; if ambiguous, set null and note in eligibility_summary.
  • documents_required: Extract specific items (e.g., “501(c)(3) letter; audited financials FY2023; program budget; board list”).

Scoring rubric example

  • Client mission_keywords: “food security, seniors, low-income families, urban farming”
  • mission_focus: “nutrition, food access, community health”
  • Overlap count = 2–3 → Mission match ~32/40
  • Geography: program open to statewide; client serves a city → 15/20
  • Size fit: awards $10k–$25k to small orgs <$2M; client $1.2M → 12/15
  • Deadline: 18 days away → 13/15
  • Burden: LOI only, basic budget → 7/10
  • Total ~79/100 → Category: Strong

What you will deliver every week (exact format)

  • Email subject: “Your Weekly Grant Matches (3–10 curated opportunities)”
  • In-body summary table (plain text):
    • [Score 86] [Program Name] — [Funder], Award $15k–$30k, Deadline 2026-08-12. Brief: [Google Doc link]
    • [Score 78] …
  • Attach links to:
    • 1-Page Briefs
    • Checklists
    • Outreach email drafts (inline or as a doc)
  • Closing line: “Reply ‘INTERESTED’ on any grant to receive next steps within 24 hours.”

Manus prompts (copy/paste)

Extraction system prompt (summary):

  • Task: Extract grant fields from HTML and/or linked PDF. Use only verifiable info. Conform to the JSON schema. Do not guess. If numbers appear as ranges, split into award_min/award_max. Deadline format YYYY-MM-DD or null.

Scorer system prompt (summary):

  • Task: Compute fit_score using mission match, geography, size, deadline, administrative burden. Apply exclusions strictly. Return a short bullet explanation and a suggested next action (“Prepare LOI,” “Skip—outside geography,” etc.).

Brief generator prompt (summary):

  • Task: Produce four artifacts sized for quick action. Use assertive, specific language. Keep the brief to <=500 words. For the internal email, list owners and due dates.

Sample 1-Page Brief outline (generated content will fill in)

  • Program: [Program Name] — [Funder]
  • Purpose: [1–2 sentences]
  • Award: [$min–$max]
  • Eligibility highlights:
    • [bullet]
    • [bullet]
    • [bullet]
  • Deadline: [YYYY-MM-DD; time zone if known]
  • Why it fits [ORG_NAME]:
    • [bullet]
    • [bullet]
  • Links: Application, Listing

Outbound email templates (prewritten by Manus)

  • To funder: 120–160 words, includes your unique angle and a measurable outcome (e.g., “serve 200 seniors with weekly farm boxes”).
  • Internal email: Assigns tasks (e.g., “Finance: budget draft by Aug 5; Programs: outcomes paragraph by Aug 6; ED: LOI sign-off Aug 7”).

Operations and SLAs

Cadence by tier

  • Basic: 1 email/week with up to 5 new strong/moderate fits; 1 outreach email template.
  • Standard: Up to 10 matches/week; 2 outreach templates; monthly pipeline snapshot.
  • Pro: Up to 15 matches/week; 3 outreach templates; 30-minute strategy call monthly.

Turnaround

  • Time-sensitive listings that appear midweek: Send a same-day alert if deadline <10 days.
  • Client replies “INTERESTED”: Send next-step checklist within 24 hours.

Response quality SLAs

  • 95% of delivered deadlines correctly formatted.
  • <5% of delivered matches later determined ineligible (track via client feedback).

30-day plan to $500–$2,000/month

Assumptions

  • Close rate: 15–25% from qualified conversations.
  • Average price: $179/month across tiers.
  • Target: 5–8 paying clients by Day 30.

Week 1 (Setup and first results)

  • Day 1:
  • Day 2:
    • Add 12–15 Grant Feeds (mix of local foundations and state portals).
    • Configure 2 Apify crawls and 1 Browserless script; push to Zap A webhook.
  • Day 3:
    • Create Manus extraction, scoring, and brief-generation workflows.
    • Test on 5 listings; validate field accuracy and JSON mapping.
  • Day 4:
    • Build Zap B–E; run end-to-end dry run; verify Docs generation.
  • Day 5:
    • Prepare a sample weekly report for a hypothetical client (use a real local nonprofit as a model; do not email them).
    • Build a one-page service PDF and a short Loom intro video (see tool list below).
  • KPIs by Day 5:
    • 20–40 listings ingested.
    • 10–15 with clean extracted fields.
    • 5+ briefs generated.

Week 2 (Prospecting and first closes)

  • Day 6–7:
    • Build a list of 60 local nonprofits (≤$5M revenue) across 3 verticals (e.g., food security, youth, arts).
    • Send 60 personalized cold emails via Gmail. Subject options:
    • “3 grant matches for [ORG] — ready Monday”
    • “We’ll shortlist grants for [ORG] weekly — $99–$249/mo”
    • Email body (outline):
    • 1 sentence credibility (local/tech-enabled)
    • What they get weekly (3–10 matched grants; 1-page briefs)
    • Price and no-commitment trial for week 1
    • CTA: “Reply YES for a sample list next Monday”
  • Day 8–10:
    • Expect 20–25% opens; 5–10 replies; 2–3 discovery calls.
    • On calls: Ask for mission keywords, geography, exclusions. Offer first week free or 50% off month 1.
    • Onboard first 1–2 clients; deliver their first Monday report.
  • KPI target by Day 10:
    • 2 paying clients (e.g., Basic at $99 + Standard at $179) = ~$278 MRR.

Week 3 (Scale outreach and referrals)

  • Day 11–15:
    • Send 120 more tailored emails (40/day).
    • Social proof: Share anonymized results on LinkedIn (e.g., “Found 9 strong fits for a small food nonprofit this week; 3 due in 14 days”).
    • Ask current clients for 1 referral each with a simple script and 10% discount on next invoice.
    • Onboard 2–3 new clients.
  • KPI target by Day 15:
    • 4–5 paying clients at blended $179 → $716–$895 MRR.

Week 4 (Optimize and lock in $1–2k MRR)

  • Day 16–23:
    • Expand feeds by 10 more sources; tune scorer thresholds.
    • Introduce Pro tier upsell for clients receiving >10 matches/week.
    • Deliver consistent Monday reports; add a monthly pipeline snapshot.
  • Day 24–30:
    • Close 1–3 additional clients through follow-ups and nonprofit Slack/Facebook groups.
  • KPI target by Day 30:
    • 6–8 clients at blended $179 → $1,074–$1,432 MRR.
    • If 8 clients with 3 on Pro ($249) and 5 on Standard ($179): $1,882 MRR.
    • Stretch: 10 clients (5 Standard, 5 Basic) → ~$1,390; add 2 more in early Month 2 to cross $2,000.

Costs and margins (estimates; verify current pricing)

  • Manus AI: Start on entry plan; scale as generations grow. Assume $30–$99/month to start.
  • Apify/Browserless: $20–$60/month combined for light weekly runs.
  • Zapier: Starter/Professional $20–$39/month.
  • Google Workspace (Sheets + Gmail): ~$6–$12/user/month.
  • Total monthly ops at 6–8 clients: ~$80–$170. At $1,400 MRR, margin ~88–94%.

Playbooks and SOPs

Weekly SOP (Monday run)
1) 6:00 AM: Scrapers fire; Zap A fills Raw Listings.
2) 6:30 AM: Zap B runs extraction; Zap C scores for each client.
3) 7:00 AM: Zap D generates briefs/checklists for high-scoring matches; Google Docs created.
4) 8:30 AM: Review top 1–2 briefs per client for accuracy; correct any deadline formatting.
5) 9:00–9:30 AM: Send Weekly Matches email via Gmail.
6) 2:00 PM: Check replies; if “INTERESTED,” create a task list and schedule.

Escalation rules

  • Missing deadline_date_iso: Flag for manual check.
  • award_min/award_max null: Add a note in the brief with the funder’s Q&A contact.
  • Fit score borderline (65–70): Include only if the client is on Pro; otherwise queue for next week.

Retention drivers

  • “Time-to-value”: First report within 5 days of signup.
  • “One tangible win”: Aim for 1 application started within 2 weeks.
  • “Clarity”: Use a consistent brief layout. Eliminate ambiguity; mark blockers plainly.

Sales collateral (use these with prospects)

  • Sample weekly email snippet:
    This week’s top fits:

    • Score 86 — Community Nutrition Fund (Award $15k–$30k). Deadline 2026-08-12. Brief: [Doc link]
    • Score 78 — Healthy Families Grant (Award up to $20k). Deadline 2026-08-20. Brief: [Doc link] Ready to apply? Reply “INTERESTED” and we’ll send an internal checklist today.
  • 60-second call script:
    We curate grants weekly for small nonprofits and deliver 1-page briefs and checklists so your team can act immediately. You’ll see 3–10 strong matches a week. Pricing is $99–$249/month. Want to try a free week? I’ll send Monday’s report with 3 opportunities.

Outreach and operations tools you can add (optional)

  • Airtable: If you prefer a relational base for clients and grants instead of Google Sheets.
  • Hunter.io: Find program officer emails for outreach when not listed.
  • Calendly: Book intro calls with nonprofit leaders without back-and-forth.
  • Loom: Record 60–90s walkthrough videos of sample briefs to boost conversions.
  • Adobe Acrobat Pro: Combine/export final briefs to PDF and add clickable links when needed.

Measuring success

  • Weekly per client:
    • Strong matches delivered: target 3–5 (Basic), 5–8 (Standard), 8–12 (Pro).
    • Open rate of weekly email: target 50–70%.
    • “INTERESTED” replies: target 1–3/week.
  • Monthly per client:
    • Applications started: 1–3.
    • Awards: Variable by cycle; aim for 1 awarded per quarter across the portfolio (early signals often lag 2–3 months).

Common pitfalls and fixes

  • Scraping blocked or unreliable:
    • Switch the method (Apify for static, Browserless for dynamic).
    • Reduce frequency to weekly and add caching. Respect robots and terms.
  • Overbroad matches lowering perceived quality:
    • Tighten mission_keywords and exclusions during onboarding.
    • Raise Zap D’s threshold from 70 to 75.
  • PDFs with poor structure:
    • Let Manus fetch the PDF directly from application_url rather than relying on a copied pdf_url.
    • If unreadable, note in the brief and attach the HTML fallback.
  • Clients not acting:
    • Add a 15-minute monthly call in Standard/Pro.
    • Include “effort estimate” in each checklist (e.g., “2–3 hours; 4 documents”).

How to present the service on a 1-page website

  • Headline: “We find grants for your nonprofit every week.”
  • Subhead: “3–10 matched opportunities + 1-page briefs + checklists for $99–$249/month.”
  • Proof: “Last week for a local youth nonprofit: 4 strong matches with $45k–$85k potential.”
  • CTA button: “Get your first week free.”
  • Secondary CTA: “See a sample brief.”

Security and data handling

  • Store only public listing data plus the client’s contact info/mission basics.
  • Do not store sensitive financials; if needed for size fit, ask for revenue range only.
  • Keep a data deletion SOP: Remove client rows and docs within 48 hours upon request.

Why Manus is the right AI core

Example weekly email to a client (copy and adapt)
Subject: Top 4 grant matches for [ORG_NAME] this week

Hi [First Name],

Here are your strongest matches this week:

  • Score 86 — Community Nutrition Fund (Award $15k–$30k), deadline 2026-08-12. Brief: [Doc]
  • Score 82 — Fresh Food Microgrants (Up to $12k), deadline 2026-08-18. Brief: [Doc]
  • Score 78 — Healthy Families Grant (Up to $20k), deadline 2026-08-20. Brief: [Doc]
  • Score 74 — Urban Gardens Pilot (Award $10k–$25k), deadline 2026-08-25. Brief: [Doc]

Checklist links are inside each brief. Reply INTERESTED on any item and we’ll send next steps today.

Best,

Upsells and long-term growth

  • Add “Application Concierge” add-on: $399/application (outline, draft, submission checklist, timelines).
  • Add “Funder Relationship” add-on: $99/month to schedule 1 intro email/month to program officers using the outreach template.
  • Add “Quarterly Grant Calendar”: $149/quarter including a 45-minute planning session.

Time management

  • At 8 clients, a well-tuned setup takes 5–7 hours/week:
    • 1.5–2 hours: QC and brief review
    • 1 hour: Client email prep and sends
    • 1 hour: Prospecting/closing new clients
    • 1–2 hours: Feed maintenance and improvements

Final checklist before launch

  • Manus workspace created and 3 workflows tested end-to-end.
  • Apify/Browserless scrapes returning at least 15 new listings/week.
  • Zaps A–E tested with dummy data and a real client profile.
  • Two Docs templates created and linked in Zaps.
  • A sample weekly email assembled and sent to yourself for formatting QA.
  • Stripe or invoice method ready; simple month-to-month agreement prepared.

Launch today

CTA — Start your AI Grant Matchmaker now

  • Build a recurring-income automation service in one weekend.
  • Deliver weekly, actionable funding matches your clients can act on immediately.
  • Start with the exact stack outlined here and scale to $500–$2,000/month in your first 30 days.

Claim your Manus AI workspace and launch your first automation today: https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link

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