ayanb

Super interesting article - thanks for sharing your journey. As AI slop takes over the internet, well written and original technical content like these will be important.

Also,

2026 web dev: 4MB of JavaScript to render a button. 2026 N64 dev: entire FPS in 1MB

Thanks for highlighting. I just realized this is open to developers who aren't city employees, which is unique. A city can pay a vendor for a deliverable, but paying an outside individual to improve something the city doesn't own is interesting (to say the least)

Currently, I am working on Ampersand (https://withampersand.com/)

It's a sync infra product that is meant to cut down 6 months of development time, and years of maintenance of deep CRM sync for B2B SaaS.

Every Salesforce instance is a unique snowflake. I am moving that customization into configuration and building a resilient infrastructure for bi-directional sync.

We also recently launched a pretty cool abstraction on top of Salesforce CDC which is notoriously hard to work with: https://www.withampersand.com/blog/subscribe-actions-bringin...

>> this is how Java, .NET, etc packaging is done for interop with Electron

not certain if this should be the status quo for the longer term.

Very interesting gameplay - I played a bit :)

> We had to implement techniques like client side prediction, server reconciliation and entity interpolation so that players look smooth when they are moving in the 3D space.

Curious: what kind of tools/frameworks could have helped in shipping to wasm faster and better?

Could you elaborate a bit more about the a12y-focussed architectural constraints that you want to enforce?

Do you see a future where cross-platform could essentially be a set of tools/frameworks to build high performance native experiences targeting the browser as the primary runtime?

Curious - could you elaborate how you think this abstraction will happen over time?

great - I sent you a note over on LI. Hoping we can jam a bit on the network logic and tooling available to fast track things.

Cool product! are you guys using wasm under the hood?

Nifty start. The need for a hosted service like this is more for secure apps where third-party services may have some privacy implications.

I think the default UI needs a little more work. Intercom also lets you email users based on certain triggers, is there an email integration that you are building towards?

Edit: Just curious, what made you code the server in Go?

Inclusions usually come from the community - users tend to add products to their stack, a lot of them obviously being OSS. We have tried to reach out to creators/admins in the past to understand if they'd like to represent themselves in the right way in front of a large buyer group.

Apologies Matt - we'd love it if you gave the platform a try, but will not include you in any future email-campaign, going forward.

Yeah, NPS is a good way to understand how actual customers feel about a product. We have collected tens of thousands of sentiment over the last six months on a wide range of products, and at scale, this sentiment data set can be quite valuable.

In this case, the primary category for Intercom is `User onboarding and Engagement` which can be broken down separately to `User Onboarding` and `In-app Support` or `In-app Chat`. That will suddenly spike up the sanity of both categories (maybe we can even normalize further - siftery has more than 700 categories/tags, a first for any such platform).

Categorisation of a data set like this can be non-trivial and will false positives. We can cherry-pick such a false positive and ignore all the actual positives. That said, thanks for this feedback - this is exactly what is needed to improve status quo. We are on it and will report back in a few hours with the category split I suggested in the previous paragraph. Do let me know if you think it can be broken down into a different type of granularity?

You can submit products through this form - https://siftery.com/submit-product, our team will do a quick review, and push the product through if it's legitimate and live.

We have 40K+ products in the DB, so you are in good company :)

Source of data:

0) We analyze products that have a public footprint.

1) We analyze products that don't have a public footprint.

2) For 0), we crawl the internet periodically and create a time series curves of B2B product usage for companies.

3) For both 0) and 1), our verified community has trained our algorithms with tens of thousands of data points on usage and sentiment, thereby reinforcing or nullifying these deductions.

4) If you have stopped using Angular and started using React (or vice-versa now that Angular 5 has better server-side rendering), it is deductible at a global context.

Agree, need more granularity than just "Javascript MVC framework". Thank you, we are on it.

Apologies, this is data we will clean up soon.

A great use case where we can increase the granularity of categorization/tagging and potentially separate the infrastructure provider and the implementation layer on top of it.

Alternativeto is great. _Siftery_Product_Substitutes_ is an attempt to analyze the migration of one product to another, across companies to begin with, and later across several other segments and industries. Where we don't have any switch data, we are only showing vanilla alternatives (sorted by NPS).

This is merely v1 and we intend to iterate quickly on this dataset and provide more intelligence/decision support for buyers when they are looking for alternatives to switch to for a specific product or across a category.

Tagged it to Javascript Frameworks and the alternatives are much better now.

Agree, we do need to split developer tools more granularly.

Search for the top alternatives for over 40k B2B software products.

We’re doing a couple of things here that this community might find interesting: A) Actually tracking when companies start and stop using a piece of software B) Using this “switch” data to calculate a probability that the switches are a true substitution and then rank the top substitutes for each product - based on actual switching behavior. 
We use a weighted average where the switches are weighted according to how much the product’s categories overlap (every product is tagged with 1-5 tags). For example, Intercom and Drift are closely related so when a company stops using Intercom and starts using Drift that’s heavily weighted. However, a percentage of the companies who stop using Intercom and then start using Zendesk are effectively substituting Intercom with Zendesk.

- You can use search to find a product, or start with the ones below:

https://siftery.com/intercom/alternatives https://siftery.com/mandrill/alternatives https://siftery.com/shopify/alternatives https://siftery.com/wordpress/alternatives https://siftery.com/lever/alternatives https://siftery.com/icims/alternatives



Note: There’s switch data for roughly 1k products (out of a total of 40k)

We are looking into the data discrepancies, it might take a bit of time to get through the individual errors. DNS + Registrar data seem to have brought on false positives. We need to beef up on Front-end tech too. The real time mapper needs work.

Humbling comments really, we have our work cut out.

A very succinct professional summary here:

http://www.computerhistory.org/fellowawards/hall/robert-w-ta...

>> In 1970, Taylor founded the Computer Science Laboratory (CSL) of the Xerox Palo Alto Research Center (Xerox PARC). Through the 1970s, CSL researchers became known worldwide for a number of important innovations necessary to the creation of the Internet. CSL invented and built Ethernet, the laser printer, and the PUP (PARC Universal Packet) protocol. PUP was introduced seven years in advance of the implementation of the Internet protocol, TCP/IP. Within Xerox, all of these technologies enabled the construction of the first internet.

Algolia, SwiftType, sooqr.com, Hawk Search (for ecommerce stores), Inbenta.

HN and ProductHunt runs on Algolia.

Edit - some more details here: https://siftery.com/categories/api-and-developer-tools/searc...

Yeah, most reviews in top software review sites may be incentivized (e.g. with an Amazon gift card). Siftery's approach is to be as data driven as we can, while focusing on verified business users and what products they use and recommend at their workplace.

Is the 32 cutoff still true? Is it representative of the median age of YC partners involved? Also, I wonder how will this change as they age themselves!