permaweb/HyperBEAM
Feb 2026 – May 2026
4 Months active
Languages Used
Erlang
Technical Skills
Erlangbackend developmentAPI developmentPrometheus integrationerror handlingmetrics collection
Niko Storni
PROFILE
Niko Storni
Worked on the permaweb/HyperBEAM repository over four months, delivering five features and resolving two bugs to enhance backend reliability and observability. Focus areas included improving API traceability by returning item IDs and timestamps, hardening Prometheus metrics integration for better performance and latency isolation, and modernizing blacklist provider support for greater configurability. Addressed codebase stability post-rebase with targeted testing and optimized error handling, ensuring robust HTTP responses and data integrity. Implemented precise chunk retrieval and strict protocol tag validation to enforce compliance and prevent malformed inputs. The work demonstrated strong proficiency in Erlang, API development, metrics collection, and backend testing.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
17Total
Bugs
2
Commits
17
Features
5
Lines of code
1,155
Activity Months4
Your Network
30 peopleShared Repositories
30
Work History
May 2026
2 Commits • 1 Features
May 1, 20262026-05 Monthly Summary for permaweb/HyperBEAM: Delivered two high-impact updates that materially improve data correctness, API reliability, and protocol compliance.
2 Commits • 1 Features
May 1, 20262026-05 Monthly Summary for permaweb/HyperBEAM: Delivered two high-impact updates that materially improve data correctness, API reliability, and protocol compliance.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for permaweb/HyperBEAM: Focused on reliability, stability, and maintainability. Key work includes codebase stabilization after a major rebase with targeted test coverage and performance tweaks, and a critical bug fix to ensure reliable height calculations under network disruption. The combined efforts reduce silent failures, improve error visibility, and accelerate future development through a cleaner, well-tested codebase. Business impact: higher data integrity for height-related metrics, fewer user-visible errors, and faster incident diagnosis through enhanced logging and regression tests.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for permaweb/HyperBEAM: Focused on reliability, stability, and maintainability. Key work includes codebase stabilization after a major rebase with targeted test coverage and performance tweaks, and a critical bug fix to ensure reliable height calculations under network disruption. The combined efforts reduce silent failures, improve error visibility, and accelerate future development through a cleaner, well-tested codebase. Business impact: higher data integrity for height-related metrics, fewer user-visible errors, and faster incident diagnosis through enhanced logging and regression tests.
March 2026
12 Commits • 2 Features
Mar 1, 2026March 2026 (2026-03) delivered substantial reliability, performance, and configurability improvements for permaweb/HyperBEAM. Focused on hardening Prometheus metrics pathways, reducing tail latency, and enabling robust multi-provider blacklist functionality. The work improves observability, resilience under load, and business value through more stable metrics, faster response times, and flexible access control lists.
12 Commits • 2 Features
Mar 1, 2026March 2026 (2026-03) delivered substantial reliability, performance, and configurability improvements for permaweb/HyperBEAM. Focused on hardening Prometheus metrics pathways, reducing tail latency, and enabling robust multi-provider blacklist functionality. The work improves observability, resilience under load, and business value through more stable metrics, faster response times, and flexible access control lists.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for permaweb/HyperBEAM. Focused on improving observability and traceability in the queuing workflow. Key feature delivered: Item Queuing: Return ID and Timestamp, which returns the item ID and the enqueue timestamp in the API response to enable precise traceability and faster debugging across services. No major bugs fixed this month. The work enhances issue diagnosis, analytics, and reliability of downstream processing. Technologies/skills demonstrated include API design enhancements, queueing logic improvements, and disciplined commit hygiene.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for permaweb/HyperBEAM. Focused on improving observability and traceability in the queuing workflow. Key feature delivered: Item Queuing: Return ID and Timestamp, which returns the item ID and the enqueue timestamp in the API response to enable precise traceability and faster debugging across services. No major bugs fixed this month. The work enhances issue diagnosis, analytics, and reliability of downstream processing. Technologies/skills demonstrated include API design enhancements, queueing logic improvements, and disciplined commit hygiene.
Activity
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Quality Metrics
Correctness97.6%
Maintainability83.6%
Architecture84.6%
Performance85.8%
AI Usage21.2%
Skills & Technologies
Programming Languages
Erlang
Technical Skills
API developmentErlangPrometheus integrationbackend developmenterror handlingmetrics collectionperformance optimizationtesting
Repositories Contributed To
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