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3.8M influencer listings 🏢49.9K sponsor listings 🌍65.6B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.5M Bluesky creators 🎙️986.2K podcast creators 🟣771.6K Twitch creators 🐘154.5K Mastodon creators 🥊93K Kick creators ▶️81.5K YouTube creators 𝕏64.9K X creators ✈️54.6K Telegram creators 📈41.7K Pinterest creators 🎵29.2K TikTok creators 🎮7.7K Discord creators 🎬3.9K Rumble creators 📈1.9K Substack creators 🧵1.5K Threads creators 3.8M influencer listings 🏢49.9K sponsor listings 🌍65.6B combined audience reach 📊13 platforms indexed 🗺️130+ countries covered 🏷️10,000+ niches 🦋1.5M Bluesky creators 🎙️986.2K podcast creators 🟣771.6K Twitch creators 🐘154.5K Mastodon creators 🥊93K Kick creators ▶️81.5K YouTube creators 𝕏64.9K X creators ✈️54.6K Telegram creators 📈41.7K Pinterest creators 🎵29.2K TikTok creators 🎮7.7K Discord creators 🎬3.9K Rumble creators 📈1.9K Substack creators 🧵1.5K Threads creators
Test Double

Test Double

🔄 Data last refreshed 11 hours ago
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Followers
538
Account age
3 yrs
🎁 Free analysisfor Test Double

Known for

📊 Post engagement

1
Avg engagement / post
0.2%
Engagement vs followers
Apr 2023
On Mastodon since

🔥 Top post: Manual testing has value. But it can't keep up with feature comp · 1 likes + reposts

📊 Activity & format

Posting cadence
9.6 / week
Toots daily — consistently active for a campaign window.
Content mix
Mostly images
Recent: 0 text · 12 image · 0 video.
Follower / following
2.2×
Follows 246 back. A more reciprocal / networked account.
🔥 Top post Manual testing has value. But it can't keep up with feature complexity. Senior Software Consultant Gabriel Côté-Carrier makes the pragmatic case for automated testing: your software's complexity grows steadily, your manual QA capacity doesn't, and the gap eats the time you need … ★ 1
Software becomes legacy by succeeding long enough to accumulate the weight of every decision and shortcut made along the way: - Users feel it as friction - Engineers feel their momentum slip - The business watches costs climb AI changes tw… 77% of healthcare execs measure tech success by operational efficiency. Only 16.7% of teams are asked to impact customer experience. That gap traps teams in a cycle of fixing technical problems without addressing root causes. Part 4 of our… Rails upgrade case study: How Gusto upgraded one of the world's largest Rails codebases without disrupting payroll operations. We fixed 1,700 test failures, modernized their tech stack, and delivered on time—all while their team kept shipp… The real prerequisite for effective AI at work isn't more autonomy. It's organizational observability: making intent visible enough for humans and agents to act well. https://link.testdouble.com/b60ba2 A prescription delivery startup with a talented team had big ambitions, but 20 potential initiatives was a lot and they were missing revenue targets. Mission: Strategic clarity on which opportunities mattered most. The fix: 6-week product … Root causes healthcare teams keep missing: siloed data across EHRs and systems, metrics rewarding output over value, and strategic misalignment between leadership and tech teams. Part 3 of our Symptoms to Sources series digs in: https://li… Infrastructure should enable work, not slow it down. Simplify to speed up. Treehouse's small dev team managed ~40 servers and an EKS cluster, and spent more cycles on ops than building features. The fix: Rebuilt around ECS instead of EKS a… Mode's autonomous deployment transformation ... Mission: Centralized infrastructure team bottleneck, Salt-based deployments Fix: Terraform modules + custom CircleCI orbs + AWS migration Results: → 5+ teams, 15+ services autonomous → Flexib… Engineering teams don't mean to centralize process ownership — it just happens. A few people end up holding all the context, and everyone else waits on them. Here's what one team changed, and what happened two months in: https://link.testd… Scaling engineering without scaling problems. It's common to equate scaling the product with churning out features. Instead take time to understand the human element behind blockers. Iterative improvements compound instead of problems for … Feature complexity grows every sprint. Manual QA capacity doesn't. Eventually the lines cross. The first thing you lose is exploratory testing. Automated testing scales like your features do—let it carry regression so humans can hunt the n…

🐘 Community & instance

Home server
mastodon.social
A large general-interest Mastodon server. On the fediverse the server a creator picks hints at their community — this one spans all topics.
On Mastodon since
Apr 2023
An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2023 — 3 years ago.
👁️Averages 1 views per post.
📤Posts about 9.6× per week.

🕵️ Fake follower check

Estimated
43/100
Fair Credibility score
73%
Mixed Real audience
Medium Fake-follower risk
High Data confidence
  • Est. 73% real, active audience · Medium fake-follower risk.
  • Low engagement (~0.2% of followers engage each post) — a sign of an inflated or inactive audience.
  • Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Our mission is to improve how the world builds software. And we do that by building both great software and great teams. We're a software development agency offering consulting services in custom software development, DevOps and product delivery. We help technology leaders get to a better place with software built to last. Legacy systems are unwound and detangled. Teams emerge happier and healthier. Leaders get maintainable software at a sustainable pace.

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