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Show HN: Pipedream 2.0 – AWS Lambda + Zapier alternative

Hey HN! Pipedream is an integration and compute platform purpose-built for developers building workflows and connecting cloud services.<p>You can author workflows without writing any code: Pipedream supports over 700 integrated applications (GitHub, Slack, etc) [1] and all connectors are open source [2]. In addition, you can write any Node.js, Python, Go, or Bash code within workflows, extending the pre-built integrations with your own custom logic.<p>Since we launched Pipedream on HN [3], over 300k developers have used the product. Pipedream developers tell us consistently that they love the code-level control when they need it, and the built-in, no code integrations when they don't. But we’ve also heard consistent feedback that the product needed to be easier to use, support more language runtimes, and provide a native Git integration.<p>In Pipedream v2, we have re-imagined the entire product and key features, including:<p>- Multi-language support including Node, Python, Golang, and Bash - Data Stores to store and retrieve data across steps & workflows - Open source triggers and actions for 700+ applications - Improved workflow builder to test and iterate without impacting live workflows - Multiple triggers are now supported per workflow - Improved forms and testing for rapid step-by-step development<p>We’re working on a GitHub integration now, which will let you manage workflow definitions as code. You can still use the Pipedream UI to author workflows, and use Pipedream’s pre-built integration components to build integrations, but you’ll be able to serialize those workflows to code. Think Terraform or CDK for app integrations. You can sign up for our waitlist below. [4]<p>My cofounder @dylburger and I will be here to answer any questions.<p>[1] Explore our integrations - <a href="https://pipedream.com/explore" rel="nofollow">https://pipedream.com/explore</a><p>[2] GitHub - <a href="https://github.com/PipedreamHQ/pipedream" rel="nofollow">https://github.com/PipedreamHQ/pipedream</a><p>[3] Alpha launch on HN - <a href="https://news.ycombinator.com/item?id=21270424" rel="nofollow">https://news.ycombinator.com/item?id=21270424</a><p>[4] Sign up for early access to GitHub integration - <a href="https://pdrm.co/git" rel="nofollow">https://pdrm.co/git</a>

Show HN: Pipedream 2.0 – AWS Lambda + Zapier alternative

Hey HN! Pipedream is an integration and compute platform purpose-built for developers building workflows and connecting cloud services.<p>You can author workflows without writing any code: Pipedream supports over 700 integrated applications (GitHub, Slack, etc) [1] and all connectors are open source [2]. In addition, you can write any Node.js, Python, Go, or Bash code within workflows, extending the pre-built integrations with your own custom logic.<p>Since we launched Pipedream on HN [3], over 300k developers have used the product. Pipedream developers tell us consistently that they love the code-level control when they need it, and the built-in, no code integrations when they don't. But we’ve also heard consistent feedback that the product needed to be easier to use, support more language runtimes, and provide a native Git integration.<p>In Pipedream v2, we have re-imagined the entire product and key features, including:<p>- Multi-language support including Node, Python, Golang, and Bash - Data Stores to store and retrieve data across steps & workflows - Open source triggers and actions for 700+ applications - Improved workflow builder to test and iterate without impacting live workflows - Multiple triggers are now supported per workflow - Improved forms and testing for rapid step-by-step development<p>We’re working on a GitHub integration now, which will let you manage workflow definitions as code. You can still use the Pipedream UI to author workflows, and use Pipedream’s pre-built integration components to build integrations, but you’ll be able to serialize those workflows to code. Think Terraform or CDK for app integrations. You can sign up for our waitlist below. [4]<p>My cofounder @dylburger and I will be here to answer any questions.<p>[1] Explore our integrations - <a href="https://pipedream.com/explore" rel="nofollow">https://pipedream.com/explore</a><p>[2] GitHub - <a href="https://github.com/PipedreamHQ/pipedream" rel="nofollow">https://github.com/PipedreamHQ/pipedream</a><p>[3] Alpha launch on HN - <a href="https://news.ycombinator.com/item?id=21270424" rel="nofollow">https://news.ycombinator.com/item?id=21270424</a><p>[4] Sign up for early access to GitHub integration - <a href="https://pdrm.co/git" rel="nofollow">https://pdrm.co/git</a>

Show HN: Pipedream 2.0 – AWS Lambda + Zapier alternative

Hey HN! Pipedream is an integration and compute platform purpose-built for developers building workflows and connecting cloud services.<p>You can author workflows without writing any code: Pipedream supports over 700 integrated applications (GitHub, Slack, etc) [1] and all connectors are open source [2]. In addition, you can write any Node.js, Python, Go, or Bash code within workflows, extending the pre-built integrations with your own custom logic.<p>Since we launched Pipedream on HN [3], over 300k developers have used the product. Pipedream developers tell us consistently that they love the code-level control when they need it, and the built-in, no code integrations when they don't. But we’ve also heard consistent feedback that the product needed to be easier to use, support more language runtimes, and provide a native Git integration.<p>In Pipedream v2, we have re-imagined the entire product and key features, including:<p>- Multi-language support including Node, Python, Golang, and Bash - Data Stores to store and retrieve data across steps & workflows - Open source triggers and actions for 700+ applications - Improved workflow builder to test and iterate without impacting live workflows - Multiple triggers are now supported per workflow - Improved forms and testing for rapid step-by-step development<p>We’re working on a GitHub integration now, which will let you manage workflow definitions as code. You can still use the Pipedream UI to author workflows, and use Pipedream’s pre-built integration components to build integrations, but you’ll be able to serialize those workflows to code. Think Terraform or CDK for app integrations. You can sign up for our waitlist below. [4]<p>My cofounder @dylburger and I will be here to answer any questions.<p>[1] Explore our integrations - <a href="https://pipedream.com/explore" rel="nofollow">https://pipedream.com/explore</a><p>[2] GitHub - <a href="https://github.com/PipedreamHQ/pipedream" rel="nofollow">https://github.com/PipedreamHQ/pipedream</a><p>[3] Alpha launch on HN - <a href="https://news.ycombinator.com/item?id=21270424" rel="nofollow">https://news.ycombinator.com/item?id=21270424</a><p>[4] Sign up for early access to GitHub integration - <a href="https://pdrm.co/git" rel="nofollow">https://pdrm.co/git</a>

Show HN: Redditle.com – For those of us who add 'Reddit' to every Google search

Show HN: Redditle.com – For those of us who add 'Reddit' to every Google search

Show HN: Redditle.com – For those of us who add 'Reddit' to every Google search

Show HN: Redditle.com – For those of us who add 'Reddit' to every Google search

Show HN: Redditle.com – For those of us who add 'Reddit' to every Google search

Show HN: Firecracker Lab – Build a microVM from a container image

Show HN: Firecracker Lab – Build a microVM from a container image

Show HN: Bloben – Self-hosted web CalDAV calendar client

Hello all,<p>I have been working on a self hosted CalDAV calendar client Bloben <a href="https://github.com/nibdo/bloben-app" rel="nofollow">https://github.com/nibdo/bloben-app</a><p>This is mostly an alternative to other web clients like great AgenDAV with some additional features I wanted to use like email invites, alarms, webcalendars, etc.<p>You can play with demo (limited to read access) here: <a href="https://demo.bloben.com/api/v1/users/login-demo?username=demo&password=Bg8v16a4q7gvC&redirect=https://demo.bloben.com/calendar?demo=true" rel="nofollow">https://demo.bloben.com/api/v1/users/login-demo?username=dem...</a><p>In the end it should provide separate clients also for CalDAV tasks and notes.<p>One thing I would maybe like to discuss more is adding encryption, which is obviously quite problematic when using standards like CalDAV. Initially I just added non-compatible fully encrypted calendars, but realised this might not be useful for many people using different clients.<p>Something halfway is adding an option to protect only some, say sensitive, events by encrypting fields like title, description or location. That way events will still be displayed via standard mobile apps and decrypted only in Bloben client (with link to open from description).<p>As part of this project I published also React calendar component <a href="https://github.com/nibdo/kalend" rel="nofollow">https://github.com/nibdo/kalend</a><p>Thank you, if you are interested and feel free to ask me anything.

Show HN: Bloben – Self-hosted web CalDAV calendar client

Hello all,<p>I have been working on a self hosted CalDAV calendar client Bloben <a href="https://github.com/nibdo/bloben-app" rel="nofollow">https://github.com/nibdo/bloben-app</a><p>This is mostly an alternative to other web clients like great AgenDAV with some additional features I wanted to use like email invites, alarms, webcalendars, etc.<p>You can play with demo (limited to read access) here: <a href="https://demo.bloben.com/api/v1/users/login-demo?username=demo&password=Bg8v16a4q7gvC&redirect=https://demo.bloben.com/calendar?demo=true" rel="nofollow">https://demo.bloben.com/api/v1/users/login-demo?username=dem...</a><p>In the end it should provide separate clients also for CalDAV tasks and notes.<p>One thing I would maybe like to discuss more is adding encryption, which is obviously quite problematic when using standards like CalDAV. Initially I just added non-compatible fully encrypted calendars, but realised this might not be useful for many people using different clients.<p>Something halfway is adding an option to protect only some, say sensitive, events by encrypting fields like title, description or location. That way events will still be displayed via standard mobile apps and decrypted only in Bloben client (with link to open from description).<p>As part of this project I published also React calendar component <a href="https://github.com/nibdo/kalend" rel="nofollow">https://github.com/nibdo/kalend</a><p>Thank you, if you are interested and feel free to ask me anything.

Show HN: Bloben – Self-hosted web CalDAV calendar client

Hello all,<p>I have been working on a self hosted CalDAV calendar client Bloben <a href="https://github.com/nibdo/bloben-app" rel="nofollow">https://github.com/nibdo/bloben-app</a><p>This is mostly an alternative to other web clients like great AgenDAV with some additional features I wanted to use like email invites, alarms, webcalendars, etc.<p>You can play with demo (limited to read access) here: <a href="https://demo.bloben.com/api/v1/users/login-demo?username=demo&password=Bg8v16a4q7gvC&redirect=https://demo.bloben.com/calendar?demo=true" rel="nofollow">https://demo.bloben.com/api/v1/users/login-demo?username=dem...</a><p>In the end it should provide separate clients also for CalDAV tasks and notes.<p>One thing I would maybe like to discuss more is adding encryption, which is obviously quite problematic when using standards like CalDAV. Initially I just added non-compatible fully encrypted calendars, but realised this might not be useful for many people using different clients.<p>Something halfway is adding an option to protect only some, say sensitive, events by encrypting fields like title, description or location. That way events will still be displayed via standard mobile apps and decrypted only in Bloben client (with link to open from description).<p>As part of this project I published also React calendar component <a href="https://github.com/nibdo/kalend" rel="nofollow">https://github.com/nibdo/kalend</a><p>Thank you, if you are interested and feel free to ask me anything.

Show HN: MetricFlow – open-source metric framework

Hi HN community, I’m Nick, co-founder/CEO of Transform.co. I’m thrilled to share MetricFlow, an open-source metric creation framework: <a href="https://github.com/transform-data/metricflow" rel="nofollow">https://github.com/transform-data/metricflow</a><p>MetricFlow strives to make what has historically been an extremely repetitive process, writing SQL queries on core normalized data models, much more DRY. MetricFlow consolidates the definitions for joins, aggregations, filters, etc., and programmatically generates SQL to construct data marts. You can think of it like LookML, but more powerful and ergonomic (and open source!). The project has three components:<p>1. MetricFlow Spec: The specification encapsulates metric logic in a more reusable set of abstractions: data_sources, measures, dimensions, identifiers, metrics, and materializations.<p>2. DataFlow Planner: The Query Planner is a generalized SQL constructor. We take in data sources (ideally normalized data models) and generate a graph of data transformations (a flow, if you will) – joins, aggregations, filters, etc. We take that graph and render it down to db-specific SQL while optimizing it for performance and legibility.<p>3. MetricFlow Interfaces: The CLI and Python SDK rely on the flexibility of the Spec and Planner to build just about any query you could ask for on top of your data warehouse.<p>These components enable novel features that other semantic layers struggle to support today:<p>- MetricFlow enables the user to traverse the entire graph of a company’s data warehouse without confining their analysis to pre-built data models (dbt), Explores (in Looker), or Cubes (in lots of tools).<p>- The Metric abstraction allows the construction of complex metrics that traverse the graph described above to rely on multiple data sources. We support several common metric types today, and adding more is a critical part of the open-source roadmap.<p>- The Materialization abstraction allows users to define and then programmatically generate data marts that rely on a single DRY expression of the metrics and dimensions.<p>MetricFlow is open source(<a href="https://github.com/transform-data/metricflow" rel="nofollow">https://github.com/transform-data/metricflow</a>) and distributed through pypi (`pip install metricflow`). You can set up (`mf setup`) a set of sample configs and try out a tutorial (`mf tutorial). The docs are all here(<a href="https://docs.transform.co/docs/overview/metricflow-overview" rel="nofollow">https://docs.transform.co/docs/overview/metricflow-overview</a>). We’d love contributions on GitHub. We’re adding new Issues to share our roadmap in the coming days, but feel free to open your own.<p>We’re also opening up a Slack community(<a href="https://community.transform.co/metricflow-signup" rel="nofollow">https://community.transform.co/metricflow-signup</a>) to talk about the project and, more generally, metric tooling.<p>Let us know what you think – we’ll be here answering any questions!

Show HN: MetricFlow – open-source metric framework

Hi HN community, I’m Nick, co-founder/CEO of Transform.co. I’m thrilled to share MetricFlow, an open-source metric creation framework: <a href="https://github.com/transform-data/metricflow" rel="nofollow">https://github.com/transform-data/metricflow</a><p>MetricFlow strives to make what has historically been an extremely repetitive process, writing SQL queries on core normalized data models, much more DRY. MetricFlow consolidates the definitions for joins, aggregations, filters, etc., and programmatically generates SQL to construct data marts. You can think of it like LookML, but more powerful and ergonomic (and open source!). The project has three components:<p>1. MetricFlow Spec: The specification encapsulates metric logic in a more reusable set of abstractions: data_sources, measures, dimensions, identifiers, metrics, and materializations.<p>2. DataFlow Planner: The Query Planner is a generalized SQL constructor. We take in data sources (ideally normalized data models) and generate a graph of data transformations (a flow, if you will) – joins, aggregations, filters, etc. We take that graph and render it down to db-specific SQL while optimizing it for performance and legibility.<p>3. MetricFlow Interfaces: The CLI and Python SDK rely on the flexibility of the Spec and Planner to build just about any query you could ask for on top of your data warehouse.<p>These components enable novel features that other semantic layers struggle to support today:<p>- MetricFlow enables the user to traverse the entire graph of a company’s data warehouse without confining their analysis to pre-built data models (dbt), Explores (in Looker), or Cubes (in lots of tools).<p>- The Metric abstraction allows the construction of complex metrics that traverse the graph described above to rely on multiple data sources. We support several common metric types today, and adding more is a critical part of the open-source roadmap.<p>- The Materialization abstraction allows users to define and then programmatically generate data marts that rely on a single DRY expression of the metrics and dimensions.<p>MetricFlow is open source(<a href="https://github.com/transform-data/metricflow" rel="nofollow">https://github.com/transform-data/metricflow</a>) and distributed through pypi (`pip install metricflow`). You can set up (`mf setup`) a set of sample configs and try out a tutorial (`mf tutorial). The docs are all here(<a href="https://docs.transform.co/docs/overview/metricflow-overview" rel="nofollow">https://docs.transform.co/docs/overview/metricflow-overview</a>). We’d love contributions on GitHub. We’re adding new Issues to share our roadmap in the coming days, but feel free to open your own.<p>We’re also opening up a Slack community(<a href="https://community.transform.co/metricflow-signup" rel="nofollow">https://community.transform.co/metricflow-signup</a>) to talk about the project and, more generally, metric tooling.<p>Let us know what you think – we’ll be here answering any questions!

Show HN: MetricFlow – open-source metric framework

Hi HN community, I’m Nick, co-founder/CEO of Transform.co. I’m thrilled to share MetricFlow, an open-source metric creation framework: <a href="https://github.com/transform-data/metricflow" rel="nofollow">https://github.com/transform-data/metricflow</a><p>MetricFlow strives to make what has historically been an extremely repetitive process, writing SQL queries on core normalized data models, much more DRY. MetricFlow consolidates the definitions for joins, aggregations, filters, etc., and programmatically generates SQL to construct data marts. You can think of it like LookML, but more powerful and ergonomic (and open source!). The project has three components:<p>1. MetricFlow Spec: The specification encapsulates metric logic in a more reusable set of abstractions: data_sources, measures, dimensions, identifiers, metrics, and materializations.<p>2. DataFlow Planner: The Query Planner is a generalized SQL constructor. We take in data sources (ideally normalized data models) and generate a graph of data transformations (a flow, if you will) – joins, aggregations, filters, etc. We take that graph and render it down to db-specific SQL while optimizing it for performance and legibility.<p>3. MetricFlow Interfaces: The CLI and Python SDK rely on the flexibility of the Spec and Planner to build just about any query you could ask for on top of your data warehouse.<p>These components enable novel features that other semantic layers struggle to support today:<p>- MetricFlow enables the user to traverse the entire graph of a company’s data warehouse without confining their analysis to pre-built data models (dbt), Explores (in Looker), or Cubes (in lots of tools).<p>- The Metric abstraction allows the construction of complex metrics that traverse the graph described above to rely on multiple data sources. We support several common metric types today, and adding more is a critical part of the open-source roadmap.<p>- The Materialization abstraction allows users to define and then programmatically generate data marts that rely on a single DRY expression of the metrics and dimensions.<p>MetricFlow is open source(<a href="https://github.com/transform-data/metricflow" rel="nofollow">https://github.com/transform-data/metricflow</a>) and distributed through pypi (`pip install metricflow`). You can set up (`mf setup`) a set of sample configs and try out a tutorial (`mf tutorial). The docs are all here(<a href="https://docs.transform.co/docs/overview/metricflow-overview" rel="nofollow">https://docs.transform.co/docs/overview/metricflow-overview</a>). We’d love contributions on GitHub. We’re adding new Issues to share our roadmap in the coming days, but feel free to open your own.<p>We’re also opening up a Slack community(<a href="https://community.transform.co/metricflow-signup" rel="nofollow">https://community.transform.co/metricflow-signup</a>) to talk about the project and, more generally, metric tooling.<p>Let us know what you think – we’ll be here answering any questions!

Show HN: Tilepieces – An open source project for visually editing HTML documents

Hi all, My name is Simone Di Nuovo and i'm the creator of tilepieces, an open source project to visually editing HTML documents and Web applications.<p>Tilepieces is a software that allows you to create applications for editing HTML documents, using some of the popular interfaces of the browser developer tools (with which it is possible to integrate css edits).<p>Tilepieces also allows you to reuse your favorite code and libraries, and exposes APIs that are useful for editing multiple files at a time. You can start using tilepieces with its progressive web application version at <a href="https://pwa.tilepieces.net" rel="nofollow">https://pwa.tilepieces.net</a>!<p>I will be happy to receive any comments from you.

Show HN: Tilepieces – An open source project for visually editing HTML documents

Hi all, My name is Simone Di Nuovo and i'm the creator of tilepieces, an open source project to visually editing HTML documents and Web applications.<p>Tilepieces is a software that allows you to create applications for editing HTML documents, using some of the popular interfaces of the browser developer tools (with which it is possible to integrate css edits).<p>Tilepieces also allows you to reuse your favorite code and libraries, and exposes APIs that are useful for editing multiple files at a time. You can start using tilepieces with its progressive web application version at <a href="https://pwa.tilepieces.net" rel="nofollow">https://pwa.tilepieces.net</a>!<p>I will be happy to receive any comments from you.

Show HN: Tilepieces – An open source project for visually editing HTML documents

Hi all, My name is Simone Di Nuovo and i'm the creator of tilepieces, an open source project to visually editing HTML documents and Web applications.<p>Tilepieces is a software that allows you to create applications for editing HTML documents, using some of the popular interfaces of the browser developer tools (with which it is possible to integrate css edits).<p>Tilepieces also allows you to reuse your favorite code and libraries, and exposes APIs that are useful for editing multiple files at a time. You can start using tilepieces with its progressive web application version at <a href="https://pwa.tilepieces.net" rel="nofollow">https://pwa.tilepieces.net</a>!<p>I will be happy to receive any comments from you.

Show HN: Rust test harness that measures energy consumption

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