Bug Bounty
The superbugs are winning. Someone should be keeping score.
Channel: Bug Bounty
Tagline: The superbugs are winning. Someone should be keeping score.
Niche: Consumer-facing antimicrobial resistance intelligence — translating WHO, ECDC, CDC, and NCBI surveillance data into beautiful, opinionated, story-driven weekly dispatches that answer the question every thinking person has: Which antibiotics still work, which don’t, and should I be worried?
Target audience: Health-conscious adults (25-55), science enthusiasts, preppers, parents worried about pediatric infections, travelers, healthcare workers who want plain-English summaries, and policy nerds. Estimated 50M+ English-speaking people with active interest.
Why now: The Lancet published the landmark global AMR burden study projecting 39 million deaths by 2050. WHO released urgent new antibiotic target profiles in March 2026. The AMR Benchmark 2026 confirmed the pharma pipeline is “worryingly thin.” BMJ warned one in six infections is now resistant. Search interest in “superbugs” and “antibiotic resistance” is climbing year-over-year — yet no consumer-facing, data-driven, beautifully designed publication exists. CIDRAP serves clinicians. ResistanceMap serves researchers. Nobody serves the scared, curious, intelligent non-expert.
Content Example
This Week’s Dispatch: “Colistin — The Last Wall Is Cracking”
Bug Bounty Weekly · Issue #47 · March 30, 2026
They call colistin the “antibiotic of last resort.” The drug you reach for when everything else has failed — when the carbapenem-resistant Klebsiella pneumoniae in a patient’s bloodstream laughs off every other weapon in your cabinet. It’s a 1950s drug, harsh on the kidneys, shelved for decades because better options existed. Then nothing else worked, and colistin got a second career nobody wanted.
Now even that wall is cracking.
This week, WHO’s GLASS surveillance system updated its 2024 data showing colistin resistance in Escherichia coli isolates has doubled in 14 countries over three years. The worst hotspots: southeastern China (where colistin was used as a livestock growth promoter until the 2016 ban), parts of India, and — newly alarming — Italy and Greece, where hospital-acquired pan-resistant infections are climbing.
What the data shows:
The ECDC’s EARS-Net 2024 dataset tells a precise story for Europe: carbapenem-resistant K. pneumoniae (the bug that forces doctors to reach for colistin) now exceeds 60% resistance in Greece, 30% in Italy, and 25% in Romania. These are numbers that were single digits fifteen years ago.
But here’s what most coverage misses: the pipeline situation. Bug Bounty tracks every active clinical trial for new antibiotics targeting carbapenem-resistant Enterobacterales (CRE). As of this week: 7 drugs in Phase III, 4 in Phase II, 11 in Phase I. Sounds healthy? Consider that the historical Phase III success rate for antibiotics is approximately 25%. Optimistically, 2-3 of those Phase III candidates will reach patients — in 2029 at the earliest.
The math doesn’t work. Resistance is spreading faster than reinforcements are arriving.
🗺️ This week’s resistance heat map shows MRSA rates dropping (good news — the 20-year UK clean-hands campaign is working) while CRE rates climb across southern Europe and south Asia. Your interactive country scorecard is updated.
💊 Pipeline Watch: Zosurabalpin (Roche), a novel tethered macrocyclic peptide targeting Acinetobacter baumannii, reported positive Phase II results this month. It’s the first genuinely new antibiotic class against Gram-negatives in decades. Stock price moved 4%. Patients moved nothing — it’s still years from your hospital pharmacy.
📊 Bug of the Week: Acinetobacter baumannii — The WHO’s #1 critical priority pathogen. Profile card: resistance to carbapenems above 80% in Iraq, Libya, and Egypt. Limited treatment options. Primarily hospital-acquired. Named after the bacteriologist Paul Baumann, not (as Reddit insists) because it “bows to nothing.”
🧪 Paper Pick: Liu et al. (2026). “Horizontal transfer of mcr-1 colistin resistance gene via IncI2 plasmids in E. coli from retail poultry, Guangdong Province.” Lancet Microbe. — Translation: resistance genes are hitchhiking between bacteria on mobile DNA in grocery-store chicken. The food chain is a superhighway for resistance.
If this dispatch made you smarter, consider keeping Bug Bounty alive. We’re reader-funded — no pharma sponsors, no “content partnerships” with diagnostics companies. Just data, context, and the occasional terrible pun about bacteria. [Support Bug Bounty →]
Data Sources
- WHO GLASS Dashboard — https://worldhealthorg.shinyapps.io/glass-dashboard/ — Global AMR & antibiotic use data by country. Downloadable. Annual update cycle. Method: GitHub Action fetches latest data dump, parses resistance percentages by pathogen-antibiotic-country triples.
- ECDC EARS-Net / Surveillance Atlas — https://atlas.ecdc.europa.eu/public/ — European AMR surveillance data. Downloadable CSV. Country-level resistance rates by species and antibiotic. Method: Automated scrape of downloadable datasets, parse into structured JSON.
- CDC NARMS — https://www.cdc.gov/narms/data/index.html — US foodborne pathogen resistance data. Public downloads. Method: Annual data pull, trend calculation.
- NCBI NDARO — https://www.ncbi.nlm.nih.gov/pathogens/antimicrobial-resistance/ — Genomic resistance surveillance. Method: API queries for new resistance gene detections.
- PubMed E-utilities — https://www.ncbi.nlm.nih.gov/home/develop/api/ — Free API. Method: Weekly automated search for papers matching
(antimicrobial resistance[Title/Abstract]) AND (new[Title/Abstract] OR novel[Title/Abstract] OR emerging[Title/Abstract]), ranked by journal impact factor and Altmetric score. - ClinicalTrials.gov API v2 — https://clinicaltrials.gov/data-api/api — Free, no key needed. Method: Query active trials with condition “antimicrobial resistance” OR intervention containing “antibiotic,” track phase changes weekly.
- ResistanceMap/CDDEP — https://resistancemap.cddep.org/ — Antibiotic resistance + consumption data. Method: Periodic snapshot for consumption-resistance correlation analysis.
- CIDRAP RSS — News feed for AMR developments. Method: RSS parse for breaking news triggers.
Automation Pipeline
- Schedule: Weekly on Monday (full dispatch), daily (data update check + breaking news scan)
- Collect: GitHub Action runs at 06:00 UTC Monday. Fetches latest GLASS data, EARS-Net downloads, PubMed search results, ClinicalTrials.gov pipeline status, CIDRAP RSS.
- Process: AI receives structured data bundle. Identifies: (1) biggest week-over-week changes in resistance rates, (2) new clinical trial phase transitions, (3) most-cited new papers, (4) any breaking resistance events from RSS. Synthesizes into narrative dispatch.
- Generate:
- Choropleth world/region maps using D3.js with resistance rate data (auto-colored heatmaps)
- “Bug of the Week” profile cards using AI image generation (microscopy-style illustrations) + data overlay
- Pipeline progress tracker (horizontal bar chart showing drugs by phase)
- Country scorecard infographics
- Trend sparklines for key pathogen-drug combos
- Publish: Astro static site build → Cloudflare Pages deploy. Newsletter export to Buttondown/Substack.
Tech Stack
- Static site: TypeScript + Astro (content-focused, fast, great SEO)
- Data processing: TypeScript scripts for API fetching, data normalization, delta calculation
- Visualization: D3.js for maps and charts, rendered to SVG → PNG for sharing/newsletter
- Image generation: AI-generated microscopy-style pathogen illustrations + data overlay compositing
- Data collection: Fetch API + cheerio for scraping, RSS parser for news feeds
- CI/CD: GitHub Actions (weekly full pipeline + daily data check)
- Hosting: Cloudflare Pages (free tier handles the traffic easily)
- Newsletter: Buttondown (free tier to 100 subscribers, then $9/mo)
Monetization Model
- Reader donations (Ko-fi / Buy Me a Coffee / GitHub Sponsors) — “Help us keep tracking superbugs.” Health anxiety + public service feeling = strong donation trigger. Projected $200-500/month by month 3.
- Premium newsletter tier ($5/month) — Extra data: downloadable country CSV reports, early access to dispatches, “Ask Bug Bounty” Q&A column, annual resistance report PDF. Similar model to STAT News ($399/yr) at 1/7th the price.
- Affiliate: Home rapid-test kits (UTI test strips, etc.), health-related books (Maryn McKenna’s “Big Chicken”), science communication courses.
- Sponsored “Pipeline Watch” segment — Diagnostics companies and biotech firms pay for featured coverage of their drug/diagnostic. Clearly labeled. $500-2000/placement once traffic justifies.
- Data licensing — Once the normalized, processed dataset is valuable, license to health tech startups, insurance analytics. Long-term play.
- Projected month-1 revenue: $50-150 (early donors, social proof)
- Projected month-6 revenue: $1,500-3,000 (SEO traction on long-tail health queries + newsletter growth to ~2,000 subscribers)
Channel Soul & Character
Name: Bug Bounty — a play on cybersecurity’s “bug bounty” programs (finding vulnerabilities and getting rewarded). Here, we’re finding the bugs (bacteria) and bounty-hunting the data that exposes the crisis.
Mascot: A cartoon detective fox 🦊🔬 in a lab coat with a magnifying glass, examining petri dishes. Name: “Finder” — equal parts Sherlock Holmes and frustrated microbiologist. Drawn in a clean, friendly illustration style (think Kurzgesagt meets scientific illustration).
Voice: Wry, slightly alarmed, but never hysterical. The friend who happens to be a microbiologist and explains scary things over coffee without making you panic — but also doesn’t sugarcoat. Uses dark humor. “Bacteria don’t read press releases about antibiotic stewardship.” Accessible but never dumbed-down. Assumes the reader is smart but not specialized.
Opinion: Bug Bounty has a clear editorial stance: (1) agricultural antibiotic overuse is criminally underregulated, (2) the economic model for antibiotic R&D is fundamentally broken and needs government “pull” incentives, (3) individual action matters (demanding narrow-spectrum prescribing, completing courses) but systemic change matters more. Not neutral — opinionated and transparent about it.
Running bits:
- “Bug of the Week” — pathogen profile cards with personality (each bug gets a “threat level” rating and a sardonic one-liner)
- “Pipeline Watch” — tracking new antibiotics through clinical trials like sports standings
- “The Resistance Report Card” — annual country scorecards grading national AMR action plans
- “Fridge Check” — monthly feature on resistance genes found in food-chain surveillance
- “The Kill Curve” — data visualization series showing how quickly resistance spreads once established
Visual style: Dark backgrounds (navy/charcoal), bright data-accent colors (electric green for “susceptible,” hot red for “resistant”), clean sans-serif typography, generous whitespace, high-contrast for accessibility. Every page has at least one data visualization. Feels like a Bloomberg Terminal for public health — authoritative, data-dense, but beautiful.
Launch Complexity: 3/5 — Data sources are freely available and well-documented. The main complexity is normalizing data across different surveillance systems (GLASS vs EARS-Net vs NARMS use different methodologies). Once the normalization layer is built, weekly automation is straightforward. Estimated 3-4 weeks to MVP.
Content Quality Score: 5/5 — This is content people literally cannot get elsewhere in this format. Raw data exists but requires PhD-level interpretation. Academic sources exist but are unreadable by non-specialists. Bug Bounty fills an enormous gap between “WHO PDF report” and “BuzzFeed listicle about superbugs.” The sample article above demonstrates genuine depth, data literacy, and engaging writing.
Automation Score: 4/5 — Core data pipeline is fully automatable (API fetches, data normalization, chart generation). The AI synthesis step requires good prompt engineering to maintain quality — needs human review in month 1 to calibrate, then can run autonomously with periodic spot checks. Breaking news items may need faster-than-weekly cadence triggers.
Revenue Potential: 5/5 — Health content commands premium CPMs and subscriber values. STAT News proves healthcare professionals pay $399/year for quality health intelligence. Bug Bounty targets a broader audience at lower price points but much larger volume. The “help us track superbugs” donation pitch is emotionally compelling. AMR diagnostics is a growing market with companies actively seeking awareness channels.
Total: 17/20
Why This Will Work:
Psychology: Health anxiety is the most powerful content driver on the internet. But AMR occupies a unique space — it’s a slow-motion crisis that people know about vaguely but can’t find accessible, trustworthy, regularly updated information on. Bug Bounty converts ambient anxiety into informed engagement. The “data-driven but human” voice builds trust. The visual design signals authority. The weekly cadence creates habit.
Market logic: There is a MASSIVE content gap. On one side: WHO PDFs and academic papers that 99% of people will never read. On the other: sensationalist “SUPERBUGS WILL KILL US ALL” headlines with no data depth. Nobody occupies the middle — authoritative, beautiful, accessible, data-rich, regularly updated, consumer-facing AMR intelligence. Bug Bounty owns that middle. SEO opportunity is enormous: hundreds of long-tail queries (“is amoxicillin still effective 2026”, “MRSA rates by country”, “antibiotic resistance statistics”) with weak existing content. Every new country scorecard page is a permanent SEO asset.
Risk & Mitigation:
- Risk: Data sources change format or access policies. Mitigation: Multiple overlapping sources (GLASS + EARS-Net + NARMS). Build adapters, not hardcoded parsers. Monitor for changes.
- Risk: AI-generated health content triggers misinformation concerns. Mitigation: Every claim links to primary data source. Explicit “not medical advice” disclaimers. Methodology page explains exactly how data is processed. No treatment recommendations — only surveillance data interpretation.
- Risk: Niche too scary — readers avoid anxiety-inducing content. Mitigation: Balanced tone (good news + bad news each week), actionable takeaways, and the dark humor voice makes it readable rather than dread-inducing. CIDRAP’s success proves the audience exists.
- Risk: Competition from CIDRAP or a major media outlet launching similar coverage. Mitigation: CIDRAP serves clinicians, not consumers. Major media won’t sustain weekly data-driven AMR coverage — they cover it in bursts during outbreaks. Bug Bounty’s automated, consistent cadence is the moat.