Bitbucket to Twitter Automation
Transform your Bitbucket commits into engaging Twitter posts automatically. This workflow fetches recent commits, generates AI-powered summaries, creates visual graphics, and posts them to Twitter. Perfect for developer advocates, open-source maintainers, and tech teams who want to showcase their development progress publicly.
AI Models
Bitbucket
Perfect For
Share development milestones and code updates on Twitter automatically
Build developer community engagement by showcasing commit activity
Create transparency for open-source projects with automated commit announcements
Market product updates and feature releases through social media
Maintain active social presence without manual posting effort
Compare models, prompts and flows on the same inputs
Any model as a variant, including open source
Pick the models you want to compare: OpenAI, Google, Anthropic, and open-source models such as DeepSeek, MiniMax, Kimi and Qwen through one OpenRouter key. Each variant runs the same flow on the same inputs; only the model, prompt or reasoning setting changes.
View DocsCompare models free
Test on your own data, or generate it
Run every variant over a dataset of real inputs. If you have none yet, Evaligo generates a realistic test set from a one-line description, so a 30-sample comparison is ready in minutes.
View DocsCreate a test setJudge every output blind
Rubrics, not vibes
Write the criteria once: what a good output must do, and what costs points. AI judges score every output against the rubric without knowing which variant produced it, and record a one-line reason per score.
View DocsWrite your first rubric
Judge panels from several vendors
Use one judge model or a panel of three from different vendors, averaged. Per-judge scores stay visible, so you can see where the judges agree and where they do not.
View DocsSet up a judge panelRepeat runs, on purpose
Model output and judging both vary between runs. Re-run an experiment with one click and compare runs side by side before you decide.
View DocsRun an experimentRead the scoreboard, ship the winner
Quality, cost and speed per output
Every experiment ends in one table: score, flawless outputs, cost per output and latency for each variant, with a score distribution per sample. Export it as a PDF report.
View DocsPromote the winning variant
Make the winning model, prompt or flow the live version with one click. The flow keeps its inputs, outputs and API endpoint.
View DocsDeploy as a production API
Any flow deploys as a REST API with authentication, documentation and code examples. Batch processing and monitoring are built in.
View DocsBuilt on a visual flow builder
Describe the flow in one sentence and Evaligo builds it: prompts, web scraping, data extraction, tools and agents as connected nodes. Edit visually or by instruction.
View DocsBenchmarks we published, run on Evaligo
Every number below comes from an experiment you can reproduce: the same flow, the same inputs, blind judges, cost and speed per output.
Open source vs closed on writing
Six models rewrite 30 dating bios; three blind judges. gpt-5.6-luna 0.883, gemini-3.7-flash 0.879, DeepSeek V4 Pro 0.849.
Read the scoreboardModel versions, not just vendors
Salary negotiation coach on 30 offers. Gemini Flash 3.5 scored 0.68; the 3.7 release scored 0.75 at 3.5x lower cost, with no prompt change.
Read the scoreboardAgent architectures head to head
One agent, an assembly line, or agent plus editor: the same task built three ways, eight model mixes, a 14-criteria judge panel.
Read the scoreboardSimple, Transparent Pricing
Start free, scale as you grow. All plans include our core features with no hidden fees or surprises.
Free
Perfect for exploring and personal projects.
- 500 credits/month
- Visual workflow builder
- Web scraping & browser automation
- 20+ AI models (GPT-4, Claude, Gemini)
- All integrations (GitHub, Bitbucket, etc.)
- Deploy as API endpoints
- One-time scheduled runs
- Bring your own API keys (unlimited)
Pro
For power users and production workflows.
- 10,000 credits/month
- Buy more credits when you need them
- Recurring schedules (hourly, daily, weekly)
- 10 concurrent API executions
- Priority email support
Credits are used for AI model calls with platform API keys. Use your own API keys for unlimited usage on any plan.