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:
- Create your Manus workspace via invitation link: https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link
- Build Google Sheet with tabs as defined.
- 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
- Manus can chain extraction, scoring, and generation in one place, making JSON-to-Doc automations reliable. It also handles PDFs and HTML without bolted-on parsers.
- You can version prompts and track structured outputs for accuracy.
- Get started immediately with the invitation link: https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link
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
- Use this Manus invitation to set up your workspace: https://manus.im/invitation/OJF7FVBNBC14H?utm_source=invitation&utm_medium=social&utm_campaign=copy_link
- Configure two feeds and generate three sample briefs.
- Send 20 personalized emails to local nonprofits before noon; offer a free first week.
- Deliver your first Monday report in 5 days.
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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