299 karma · joined October 27, 2016
We have a platform for automated sheet metal production and quoting. At the moment we only take completed 2D/3D technical drawings as an input although there is definitely a market for ordering parametric products too.
If you ever want to discuss the possibilities for HFD in the sheet metal industry let me know!
It seems however that although there is a ton of references online for the various conversions many of them are very outdated. I'm wondering if anyone used similar conversions in a production environment in the past and what approaches yielded the best results for them.
(if anyone wants to play around with the current implementation I'll leave an instance running here: https://inkscape-xiaaw3oz6q-ew.a.run.app)
Had a similar iOS app years ago that would make chat groups with everyone in a 1km radius [1]. In the end our largest hurdle was getting enough users together per location.
At the time of building this project this was not yet available. And automating WhatsApp was somewhat of a hassle.
The card is however printed by a third-party with whom we thus have to share the address details for shipping. From there on the is no additional privacy concernes compared to sending a postcard by hand.
I made a WhatsApp chatbot[1] a while back that helps you customize and send postcards from within WhatsApp.
Some feedback that did wonders for our service (melonpost.com) is to make the call to action different for desktop and mobile users:
- Your current link to the phone number only works on mobile so only show it here
- An option for desktop users is a "text me" button with an input field for the number to send a text to
Something the bot still has trouble with is if the user sends a second reply before the answer of the bot is received.
Looking for some advice on getting the dialog as fluid as possible (I'm using dialogflow on the back). Especially address parsing seems like a tricky field so any feedback on this would be most appreciated!
The WhatsApp REST interface will be open-source once fully tested (heavily based on: https://github.com/Rhymen/go-whatsapp).
You might want to also look at the verification of contracts as a target market. Often the addition of digital signatures or scanned pages will avoid md5 checksums to check for any tampering. Bacause you approach is visual it might be a great way to validate a contract has not been altered.
Topology optimization is the broader field that allows topological changes to the design (e.g. the addition or removal of nodes). These optimization’s often have a solution that first have to be interpreted by an engineer to turn it into a manufacturable design.
A shape optimization performs optimization only of certain variables of a predefined design. The splines as described here seems to fit well for describing for instance sheet metal parts or cross-sections of beams.
Also, I believe the cooperation that maintains the project also offers a paid enterprise version that offers mainly a more complete accounting module and handles the migration to any future versions.
We are currently working with a company in the sheet metal business that uses it and I'm extremely impressed with it.
To hook in on the rest of the debate. It might not be the best measure to qualitatively or even quantitatively compare developer contributions. But a physical token as memento would definitely be an awesome way to be thanked for contributing to a project instead of the old buy-me-a-coffee-button.
And although I still think it could be a very valuable type of platform it is extremely hard to build the right community with enough critical mass. Best of luck! And if you ever want exchange experiences I'd be happy to help.
SmartPart is a young company building a SaaS platform that spins up real-life factories. We allow companies in the sheet metal industry to automate the entire process from quotations up to the moment that the customer's data gets sent to the laser/water/plasma cutter. We are looking for great engineers to help us built both a scalable SaaS platform and capture century old manufacturing knowledge using state of the art computational geometry algorithms.
Stack: C++, Python, SQL, OpenCascade, Django, Docker, AngularJS
Send us an email to tobias@smartpart.io (please mention you found us through HN).
These will be checked for availability and if so a reference to them is added in the .tex file. On building the PDF using LaTeX the referenced images will be included.
Would love to hear the HN thoughts on the project and I'll check in now and then to answer any questions!