Bug Report
The weekly intelligence briefing on the bacteria that are winning — and what's left in humanity's medicine cabinet.
Channel: Bug Report
Tagline: The weekly intelligence briefing on the bacteria that are winning — and what’s left in humanity’s medicine cabinet.
Niche: Consumer-facing antimicrobial resistance intelligence — pathogen threat scorecards, drug pipeline tracking, resistance trend maps, weekly research digests, and “which antibiotics still work?” guides, all auto-generated from WHO, CDC, PubMed, and clinical trial data.
Target audience: Health-conscious consumers (25-55), science enthusiasts, healthcare professionals wanting quick digests, effective altruism community, parents and caregivers who want to understand when antibiotics matter and when they don’t.
Why now: The September 2024 Lancet study projecting 39 million AMR deaths by 2050 was the biggest AMR media event ever. WHO launched an updated GLASS dashboard in 2025. FDA just reported a 16% spike in livestock antibiotic sales. Public awareness is surging but there’s zero consumer-friendly, data-driven, beautifully designed AMR content. Every existing resource is either an ugly government dashboard or academic journal. The gap is enormous and the timing is perfect.
Content Example
🔬 Weekly Threat Brief — Week 14, 2026
Klebsiella pneumoniae Just Crossed a Line
Threat Level: 🔴 CRITICAL | Trend: ↑ Worsening | Watch Since: 2019
For years, Klebsiella pneumoniae was the quiet crisis in hospital wards — a gut bacterium that most healthy people carry without incident, but that kills immunocompromised patients with ruthless efficiency when it turns resistant. This week, new data from the WHO GLASS surveillance system confirms what infectious disease specialists have feared: carbapenem-resistant K. pneumoniae (CRKP) has crossed the 50% resistance threshold in three more countries.
What that means in plain English: Carbapenems are the antibiotics doctors reach for when nothing else works. They’re the “break glass in case of emergency” drugs. When a bacterium shrugs off carbapenems, you’re left with colistin — a 1950s-era drug so toxic it damages kidneys — and prayer.
In Greece, CRKP resistance hit 72.3% of hospital isolates in the latest reporting period. Italy sits at 34.1%. India, where the data is spottiest, reports regional rates exceeding 60% in tertiary care hospitals.
The map tells the story: Our auto-generated global heatmap (below) shows the Mediterranean basin and South Asia as deepening red zones. Northern Europe remains cooler — Scandinavian countries report CRKP rates below 1% — but the trendlines are pointing the same direction everywhere. Resistance doesn’t respect borders. It travels in the guts of patients transferred between hospitals, in the sewage of pharmaceutical manufacturing hubs, and in the livestock trade.
What’s In the Pipeline?
Drug Phase Target Developer Expected Cefepime-zidebactam Phase 3 CRE including CRKP Wockhardt 2027 Sulopenem NDA filed Gram-negative MDR Iterum Therapeutics Under review QPX7728 combinations Phase 2 Metallo-β-lactamase producers Qpex Biopharma 2028+ Three drugs in advanced trials target CRKP specifically. But here’s the economic horror: developing a new antibiotic costs ~$1.5 billion, and the return on investment is terrible because — if the system works correctly — the new drug should be used as little as possible to preserve its effectiveness. This is why antibiotic companies keep going bankrupt (Achaogen, Melinta, Tetraphase) even after FDA approval. The market is structurally broken.
Your Action Items
If you’re a patient: Ask your doctor about culture and sensitivity testing before accepting broad-spectrum antibiotics. The 10 minutes it takes to run a rapid diagnostic can save the antibiotics that save lives.
If you’re buying meat: USDA Organic and “Raised Without Antibiotics” labels mean something here. The farm-to-resistance pipeline is real — the FDA’s 2024 data showing a 16% spike in livestock antibiotic sales is the canary screaming.
If you care about policy: The PASTEUR Act (Pioneering Antimicrobial Subscriptions to End Upsurging Resistance) would pay antibiotic developers annual subscriptions regardless of sales volume — fixing the broken economic model. It’s been introduced in Congress three times. It hasn’t passed. Your representatives have heard from pharma lobbyists. They haven’t heard from you.
Data: WHO GLASS 2025, CDC AR Threats Report, ClinicalTrials.gov. Last updated: 2026-04-05.
Bug Report is ad-free, donor-supported, and auto-generated from public health data. ☕ Support us
The Soul of Bug Report
Name: Bug Report — a double entendre that software developers will love and share. It’s a “bug report” on the bugs that are reporting resistance. Memorable, searchable, witty.
Mascot: Dr. Petri — a grumpy, bespectacled E. coli bacterium in a tiny lab coat who narrates the weekly threat briefs. Drawn in a distinctive ink-wash illustration style. Dr. Petri has OPINIONS. He’s seen things. He’s disappointed in humanity’s antibiotic stewardship but hasn’t given up yet.
Voice: A world-weary epidemiologist who’s been trying to warn people for 20 years and has finally found a megaphone. Equal parts Carl Sagan’s wonder and Anthony Bourdain’s directness. Complex science explained with kitchen-table clarity. Never dumbed down — just translated. Takes a clear stance: misuse of antibiotics is a civilizational threat, and the economic model for developing new ones is broken.
Running bits:
- 🏆 “Resistance Hall of Shame” — monthly ranking of pathogens by how badly they’re winning
- 💊 “Still Works / Kinda Works / Forget It” — antibiotic effectiveness scorecards
- 🐔 “Farm Report” — livestock antibiotic usage tracking with industry accountability
- 📊 “The Number” — each issue opens with one jaw-dropping statistic
- 🪦 “Obituary” — when an antibiotic class effectively dies against a major pathogen
- 💡 “Bright Spot” — one piece of good news per issue (new drug, successful stewardship program, policy win)
Visual style: Clinical but warm. White backgrounds, deep navy text, accent colors by threat level (green → amber → red → black). Ink-wash illustrations of bacteria. Clean data visualizations with generous white space. Feels like The Economist met a microbiology textbook and they had a beautiful, terrifying baby.
Opinion: Bug Report has a clear editorial position — the AMR crisis is an economic and political failure, not a scientific one. We have the data. We have some of the drugs. What we don’t have is the political will to regulate livestock antibiotics, fund new drug development properly, or build global surveillance infrastructure. Every article connects back to systemic causes, not just symptoms.
Data Sources
| Source | URL | Data Type | Access Method | Update Frequency |
|---|---|---|---|---|
| WHO GHO OData API | https://ghoapi.azureedge.net/api/ | AMR indicators by country/pathogen/year | REST/JSON, free, no key | Annual (GLASS reports) |
| WHO GLASS Dashboard | https://worldhealthorg.shinyapps.io/glass-dashboard/ | Global AMR surveillance | Scrape/download CSV | Annual with quarterly updates |
| CDC NARMS Now | https://wwwn.cdc.gov/NARMSNow/ | US food chain AMR (Salmonella, Campylobacter, E. coli) | Interactive data download CSV | Annual |
| FDA NARMS Integrated | https://www.fda.gov/.../narms-now-integrated-data | US retail meat, animal, human isolates | Downloadable datasets | Annual |
| ECDC Surveillance Atlas API | https://api.store/.../ecdc-api/ | European AMR data by country/pathogen | REST API | Annual |
| PubMed E-utilities | https://eutils.ncbi.nlm.nih.gov/entrez/eutils/ | New AMR research papers, abstracts | REST/XML/JSON, free (API key for higher rate) | Real-time |
| ClinicalTrials.gov API | https://clinicaltrials.gov/api/v2/ | Antibiotic clinical trials pipeline | REST/JSON, free | Real-time |
| CARD Database | https://card.mcmaster.ca/download/ | Resistance gene ontology, reference sequences | Download (non-commercial) | Quarterly |
| WHO Essential Medicines | WHO website | Antibiotic categorization (Access/Watch/Reserve) | Scrape/PDF parse | Annual |
| ResistanceMap (CDDEP) | https://resistancemap.cddep.org/ | Global resistance rates visualization | Scrape reference data | Periodic |
Automation Pipeline
Schedule: GitHub Actions runs every Monday at 06:00 UTC for the weekly threat brief + daily at 00:00 UTC for research paper scanning.
Weekly Pipeline (Monday)
-
Collect:
- Query WHO GHO OData API for latest AMR indicators
- Check GLASS dashboard for new country data uploads
- Scrape CDC NARMS for updated resistance percentages
- Query ClinicalTrials.gov for antibiotic pipeline status changes
- PubMed E-utilities search:
(antimicrobial resistance[Title]) AND ("last 7 days"[dp])— grab new papers
-
Process (AI step):
- Rank pathogens by resistance trend change (biggest movers up/down)
- Identify the week’s “lead story” — biggest resistance jump, new drug milestone, or policy development
- Cross-reference new PubMed papers with pathogen database — extract consumer-relevant findings
- Generate “Still Works / Kinda Works / Forget It” scorecard updates
- Write 1,500-2,000 word weekly threat brief in Bug Report voice
- Write 3-4 shorter pathogen profile updates (300-500 words each)
- Generate image prompts for hero illustration + data visualizations
-
Generate visuals:
- Global AMR heatmap (D3.js + TopoJSON, auto-colored by resistance rates)
- Pathogen threat-level scorecards (SVG generation)
- Drug pipeline timeline (Gantt chart via Chart.js)
- Hero illustration via AI image generation (Dr. Petri + weekly theme)
- Antibiotic effectiveness matrix (interactive HTML table)
-
Publish:
- Build static site with Astro (TypeScript)
- Generate RSS feed + newsletter HTML
- Deploy to Cloudflare Pages (free tier)
- Post to Telegram channel
- Tweet thread summary from hero stat
Daily Pipeline (lightweight)
- Scan PubMed for high-impact new papers (citation: Nature, Lancet, NEJM, BMJ + AMR keywords)
- If breakthrough found, generate a “Breaking” mini-post (500 words)
- Otherwise, queue papers for weekly digest
Tech Stack
| Component | Technology | Why |
|---|---|---|
| Static site | Astro (TypeScript) | Fast builds, component islands, great SEO, MDX support |
| Data collection | TypeScript scripts in GitHub Actions | Type-safe API calls, JSON parsing |
| AI writing | OpenAI GPT-4o / Claude via API | Best quality for science communication |
| Data visualization | D3.js + Chart.js | Server-rendered SVGs for maps, interactive charts client-side |
| Image generation | DALL-E 3 / Stable Diffusion | Dr. Petri illustrations, pathogen art |
| Maps | D3.js + Natural Earth TopoJSON | No API key needed, full control |
| CI/CD | GitHub Actions | Free for public repos, cron scheduling built-in |
| Hosting | Cloudflare Pages | Free tier generous, global CDN, fast |
| Newsletter | Buttondown (free tier to 100 subs) → Resend at scale | Markdown-native, API-driven |
| Search | Pagefind | Static site search, zero-cost |
Monetization Model
Revenue Streams
-
Donations (primary early revenue)
- Buy Me a Coffee / Ko-fi — “Buy Dr. Petri a culture medium” 🧫
- GitHub Sponsors — recurring monthly
- Telegram Stars (for Telegram channel)
- Target: $200-500/mo by month 3 from science enthusiast audience
-
Newsletter premium tier ($5/mo)
- Weekly deep-dive for healthcare professionals
- Early access to threat briefs
- Downloadable data exports (CSV/Excel)
- Target: 50 paying subscribers by month 6 = $250/mo
-
Affiliate/sponsored content (month 6+)
- Rapid diagnostic test kit affiliate links (home UTI tests, etc.)
- Health science book recommendations (Amazon affiliate)
- Online microbiology courses (Coursera/Udemy affiliate)
- Target: $100-300/mo
-
Institutional sponsorship (month 9+)
- Diagnostics companies (bioMérieux, Cepheid, Becton Dickinson)
- Public health foundations (Wellcome Trust, Gates Foundation AMR program)
- Academic institutions wanting to amplify their research
- Target: $500-2,000/mo
Revenue Projections
- Month 1: $50-100 (early donors, share virality)
- Month 3: $300-500 (donation base + first premium subscribers)
- Month 6: $800-1,500 (SEO traction + affiliates + growing newsletter)
- Month 12: $2,000-5,000 (institutional sponsors + mature newsletter)
Unit Economics
- Hosting: $0 (Cloudflare Pages free tier)
- AI API costs: ~$30-50/month (GPT-4o for weekly content generation)
- Image generation: ~$10-20/month
- GitHub Actions: Free for public repo
- Total monthly cost: ~$50-80
- Break-even: Month 2-3
Growth Mechanics
SEO Strategy
- Target keywords: “superbug tracker”, “antibiotic resistance map”, “which antibiotics still work”, “MRSA resistance rates”, “[pathogen] antibiotic resistance 2026”
- Content moat: Auto-updating data means pages stay fresh — Google rewards this
- Programmatic SEO: Auto-generate pages for every pathogen × country combination = thousands of indexed pages
- Schema markup: MedicalCondition, Dataset, Article structured data for rich snippets
- Image SEO: Every map/chart has descriptive alt text, appears in Google Images
Social/Viral Hooks
- “The Number” opening stat is designed for screenshot sharing
- Threat level emojis (🟢🟡🟠🔴⚫) are visually striking in social shares
- Dr. Petri illustrations are distinctive and shareable
- “Obituary” for dead antibiotics — emotional, provocative, share-worthy
- World Antimicrobial Awareness Week (November) — pre-build content for annual search spike
- Responsive to outbreaks — when a superbug makes news, Bug Report already has the context page
Newsletter Capture
- Exit-intent popup: “Get the weekly threat brief before it’s on the site”
- Inline CTA after every article: “Dr. Petri sends one email per week. No spam. Just science.”
- Free “Antibiotic Effectiveness Cheat Sheet” PDF download for email signup
- Telegram channel for real-time updates (lower friction than email)
Community Building
- Encourage healthcare professionals to submit local resistance data
- Monthly “Ask Dr. Petri” Q&A from reader submissions
- Annual “State of the Superbugs” comprehensive report — designed for media citation
- Partner with university microbiology departments for fact-checking credibility
Design Thinking
Visual Differentiation
- Dark navy + clinical white — unlike any health blog (which are all pastel and friendly). Bug Report looks serious because the topic is serious.
- Ink-wash bacteria illustrations — no stock photos, no generic science graphics. Every pathogen gets a distinctive illustrated portrait.
- Threat-level color system woven through every element — readers learn the visual language quickly.
Information Architecture
- Homepage: This week’s lead threat brief + scoreboard of all tracked pathogens
- Pathogen profiles: Individual pages for each WHO priority pathogen (~15 pages), auto-updating with latest data
- The Pipeline: Drug development tracker with phase, target pathogen, timeline
- The Map: Interactive global AMR heatmap (filterable by pathogen, antibiotic class)
- Archive: Weekly briefs searchable by pathogen, country, drug, date
- About/Methodology: Full transparency on data sources, AI processing, editorial stance
Mobile-First
- Scorecards are card-based, thumb-scrollable
- Maps have tap-to-zoom country detail
- Charts are responsive SVGs
- Reading experience optimized for commute-length (5-7 min per article)
Shareability
- Every article has a “hero stat” designed for Twitter/screenshot sharing
- Open Graph images auto-generated with threat level + pathogen name + key stat
- Embeddable widgets: “Current threat level for [pathogen]” that other sites can embed
Trust Signals
- Every data point links to its government source
- Methodology page explains exactly how AI processes data
- “Last verified” timestamps on every claim
- Advisory board of university researchers (approach after launch)
Scores
| Criterion | Score | Rationale |
|---|---|---|
| Content Quality | 5/5 | Massive, rich government data sources. Science communication that’s genuinely useful and potentially life-saving. The sample article demonstrates the quality bar. |
| Automation | 4/5 | Weekly pipeline is highly automatable. WHO/CDC/PubMed APIs are reliable. Minor manual review recommended for medical accuracy (could be AI-verified against sources). |
| Revenue Potential | 5/5 | High-value audience (health-conscious consumers, HCPs). Multiple revenue streams. Institutional sponsorship potential is massive — AMR is a multi-billion dollar industry concern. |
| Launch Complexity | 3/5 | Multiple data sources to integrate. Map generation requires D3 setup. Medical content needs careful accuracy review pipeline. ~3-4 weeks to MVP. |
| Total | 17/20 |
Why This Will Work
Psychology: Fear + agency is the most powerful content combination. People are scared of superbugs (39 million deaths headline was everywhere) but feel helpless. Bug Report gives them understanding AND action items. The “Dr. Petri” character makes terrifying data approachable — like having a witty friend who happens to be a microbiologist explaining what’s actually happening.
Market logic: The WHO and CDC have the data but terrible communication. Science journalists cover AMR sporadically. Nobody owns the “always-on AMR intelligence” space for consumers. First mover in this niche becomes the default citation source — every future superbug news story links to “Bug Report’s pathogen profile for [bacteria].”
Timing: Post-Lancet 39M study (2024), post-WHO GLASS dashboard update (2025), pre-WHO antimicrobial awareness week (Nov 2026). The awareness window is open and nobody has built the definitive consumer resource yet.
Compounding moat: Every week of data collection makes the historical trend analysis more valuable. By month 12, Bug Report has the most comprehensive longitudinal consumer-facing AMR dataset on the internet.
Risk & Mitigation
| Risk | Severity | Mitigation |
|---|---|---|
| Medical accuracy — AI-generated health content could be wrong | High | Every claim must link to source data. Disclaimer: “not medical advice.” AI cross-verification against cited papers. Seek advisory board review. |
| Data source changes — WHO/CDC APIs could change or go down | Medium | Multiple redundant sources for each pathogen. Cache historical data locally. Monitor API health in CI. |
| Google medic update — health content penalized without E-E-A-T signals | Medium | Cite all government sources. Build advisory board. Transparent methodology. Author page with credentials. |
| Low organic traffic initially — AMR isn’t searched daily | Medium | Programmatic SEO (pathogen × country pages) captures long-tail. Spike content for outbreaks. Newsletter builds direct audience independent of Google. |
| Donor fatigue — “superbug doom” isn’t fun to fund | Low | Dr. Petri’s personality makes it engaging, not depressing. “Bright Spot” segment provides hope. Community aspect builds loyalty beyond content. |