@makisuo

Founding Engineer @Superwall Working on @mapledotdev https://xitter.cf/t.co/lKqtuW6TVe

 Berlin, Germany
maple.dev
Joined February 2013
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For the last 5 months, I’ve been working on Hazel, and I’m super excited to finally share a first open beta version: hazel.sh, try it out now! Fully open source as always of course github.com/HazelChat/hazel I started building Hazel because I’ve been super unhappy with work chat apps for quite some time. Slack feels lacking in a lot of areas, customization support feels limited, Discord is amazing but sadly feels way too unprofessional, and I don’t even want to talk about Teams… I knew it would be a fool’s task to try to build something to replace these tools, but I wanted to try anyway and quickly got obsessed. I kept grinding on it more and more, slowly chipping away at one thing after another, and I can finally say I’m happy enough to use Hazel over any of the other solutions for my day‑to‑day communication, it's far from perfect but in a state I would love to get some feedback to make this truly the best communication platform. I built Hazel from the ground up with @EffectTS_ , @ElectricSQL , and @tanstack db to not only make it really, really fun to develop, but also great to use and maintain. For now, some core features include: - Public / Private / DM channels - Threads & replies - Reactions & file uploads -A media explorer - A smart notification system …and much, much more. Hazel is far from done, but I hope I can inspire some of you to join me on this journey to do the impossible and build the Slack of the modern era.
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Makisuo retweeted
Jake Mor
@jakemor7h
🧵 I had an INCREDIBLE time delivering @Superwall's first keynote yesterday. Here is everything you missed (full video + summary) 👇
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One customer has already improved their CI speed by 50% through optimizing CI via Maple MCP
Makisuo
@makisuoOct 16
CI has been getting os slow I needed better tools to fix it. Now @Mapledotdev 's GitHub integration traces every workflow run automatically. your agent can query all of it too.
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CI has been getting os slow I needed better tools to fix it. Now @Mapledotdev 's GitHub integration traces every workflow run automatically. your agent can query all of it too.
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Planetscale moving from Vercel to Cloudflare? 👀 (guessing was just landing page)
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Been building an @EffectTS_ native ORM for a while, and it's finally ready for some of you to try. - includes ClickHouse + Postgres - Fully typesafe - Migrations for both, and it can adopt your existing drizzle-kit migrations Still early, but it's been running @Mapledotdev in production for about a month. github.com/MapleTechLabs/eff…
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Maple now has a @alchemy_run provider. -Setup Telemtry Collection - Create Alerts - Create Dashboards and much more.. maple.dev/docs/iac/alchemy/
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Observe and optimize all your Infra with @Mapledotdev and get alerts on everything thats going on
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Moved an important API from Node → @bunjavascript Latency p50: −25% p95: −60% p99: −80% Resources Memory: −63% CPU: −25%
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Services. p50/p95/p99, throughput, Apdex and error rate per service, with deploys marked on every chart. The service map is built from real calls, with rate, errors and latency on every edge. Databases and caches show up too. (And yes, there's a 3D mode.)
payment-svc service page: latency, throughput, Apdex and error rate charts, all degrading at a marked deploy.

ALT payment-svc service page: latency, throughput, Apdex and error rate charts, all degrading at a marked deploy.

2D service map: nine services with request rate, error rate and latency, connected to a Postgres database and a Redis cache.

ALT 2D service map: nine services with request rate, error rate and latency, connected to a Postgres database and a Redis cache.

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More: • Session replay, linked to traces • Web analytics, incl. AI crawler reads • Product events and funnels • A PR review agent grounded in prod telemetry • Slack and Discord bot • Maple Local: all of it as one binary • Bring your own ClickHouse, EU region
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Maple is source-available and built on OpenTelemetry, so if you already emit OTel you're one endpoint change away. maple.dev

Open Source Observability for Traces, Logs & Metrics | Maple

Open-source observability built on OpenTelemetry. Traces, logs, metrics and session replay in one place, with an MCP server your AI agent can query.

maple.dev
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We have been shipping so much in the last months for Maple, I think most people have no idea how much Maple does now. Traces, logs, metrics, errors, alerts, releases, dashboards, an agent that investigates incidents, LLM agent observability, an absurdly powerful MCP server to give you agent context for EVERYTHING, infra monitoring. All on OpenTelemetry. Here's all of it 🧵
Maple's 3D service map: services and databases rendered as buildings on a voxel island, with request rates on the connections.

ALT Maple's 3D service map: services and databases rendered as buildings on a voxel island, with request rates on the connections.

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Metrics. Every OTel metric is typed and listed, with per-series, reset-aware rate and increase. One click to add a chart to a dashboard or turn it into an alert. Here: a DB connection pool backing up the minute a bad deploy landed.
Metric explorer for db.client.connection.pending_requests: flat at zero, then jumping to about 35 pending requests after a deploy.

ALT Metric explorer for db.client.connection.pending_requests: flat at zero, then jumping to about 35 pending requests after a deploy.

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