Hi all! So we've created a platform that enables connecting to any registry, any vm you have and easily deploy infinite Docker apps while connecting each app to a domain. Oh, and we do all the hard wiring without installing any agents :-) We are looking for first users to help validate it, totally FREE. Will you assist? www.paunel.com

Cool blog from Datadog - they are talking about ingest and discuss a bunch of issues around sharding. super relevant: https://www.datadoghq.com/blog/engineering/husky-deep-dive/

I heard many bootstrappers boasting about their financial status after the collapse of SV Bank. However, what they fail to realize is that they won't be able to sustain themselves unless they also raise some capital: Why Bootstrappers need to raise some money too ?

What all possible ways to save on data transfer cost while migrating TBs of data away from AWS? Sorry AWS folks, asking for a friend who like to move to Azure.

Lawyers and the Kitchen Sink It is commonly believed – and correctly – that lawyers are risk averse. Less commonly understood is the impact that this aversion has on contracts. But why are lawyers more risk-averse than their non-legal peers? Is it something in their DNA that encourages them to become lawyers, or is it something in their training? For Anglo-Saxon lawyers, the training has a large part to play. Anglo-Saxon lawyers are brought up on the common law system, and the common law is based on case law. *But what is a legal case (in a business context) except a deal that went wrong?*And, if it ended up in court and law students are reading about it, not just wrong, but exceptionally, anomalously, wrong. How anomalous? Well, add up in your head how many business-related court cases you have been involved in for every ten years of your working life. If the number is greater than 1 case for every 500 years of working life (Yes, add your numbers together with some colleague’s numbers) I’d be amazed. So pity the poor lawyer who, at a very impressionable age, is for 3 years force-fed a diet of the anomalous and ends up believing that the anomalous represents the real world. Having been trained to be risk-averse, how does this risk-aversion manifest itself in the world of contracts? Let me introduce you to the concept of kitchen-sinking. Kitchen-sinking is when a lawyer, in order to avoid having to make a decision about what’s relevant for a specific contract, lobs in every clause he can think of including the kitchen sink. Why lob in everything instead of making a decision about what’s relevant? Because making the decision about what’s relevant means making a judgement call, and if you make a judgment call, you might get it wrong. And if you get it wrong, you might get sued. So, kitchen-sink it and avoid the risk. (Note that this applies primarily to law firm lawyers. Inhouse lawyers may worry about getting fired, but they don’t worry about getting sued by their employers). But ask yourself this. Whose interests does kitchen-sinking really serve? Whose risks are being mitigated? Is it the risks borne by the client, or is it the risks borne by the client’s lawyer?

Does anyone have a list of SaaS Companies + public social media (LinkedIn, Twitter, etc) of their execs? Would anyone buy a list like that if I compiled it? This would be about targeting your marketing efforts, it wouldn’t be “here’s the real private email of Foo Co’s CTO so you can bother her with outbound sales”

106 backlinks for a SaaS website in 3 months and traffic grows by 55%. Exact strategy 👇

This is a good read, more technical than the title suggests: https://www.loom.com/blog/scale-engineering-operations

It is completely non-obvious from the title, but they talk about pgbouncer, their migration to Aurora, etc...

Love to know the views related to security implications with regards to LLM/AI. OpenAI recently enabled third-party plugins which even allow local code execution in the sandbox. It can be a big headache for security experts to handle many security implications, some of which I can think of by carefully crafted prompt - - To inject malware into a client machine - To launch an attack on some website - To launch a prompt bomb (continue to generate text after text) - To launch a recursion attack on the chat (feed prompt reply to prompt continuously) - To trick the chatbot (if connected to your data source) to reveal sensitive information - Other well know attacks related to multimode (image, video, audio) like pixel flood attack ---------------- Just plugging my post here if you like to discuss there: https://www.linkedin.com/posts/lalitpagaria_openai-recently-enabled-third-party-plugi[…]340317196288-tDaf and https://twitter.com/PagariaLalit/status/1639118129778552832?s=20

New on the SaaS Developer Youtube: I talked to Andrew Wang, storage team lead at Airtable about their multi-tenant and large scale data architecture. We talked about how they migrated millions of tenants on 100+ shards to MySQL 8.0, the infrastructure they built to run a system at this scale, data isolation levels, engineering culture, and more. The conversation has tons of gems, good advice and fun internals, so don't miss this episode 🙂

How to choose between User Flow and User Journey? Good news is that you don't have to pick one and discard the other: User Flow and User Journey are not synonyms. The User Journey is the map that guides you from point A to point B. It shows you the sights to see, the roads to take, and the pit stops to make. The User Flow is like the GPS that helps you navigate the journey. It tells you when to turn left, when to turn right, and when to take a detour. Check out our latest blog post to learn more! https://is.gd/M1MnyI

One effective strategy to go from lower page 1 of google to the top is by targeting featured snippets. And thereby, increasing traffic 2-3x.

Are you struggling to onboard new users to your SaaS product?💡 Effective software onboarding is crucial for increasing user retention, improving customer satisfaction, and faster time-to-value. In this post, we'll explore advanced software onboarding practices, including personalized onboarding experiences, step-by-step approaches, ongoing support, data and analytics, and gathering feedback. Implementing these best practices will help you deliver a better user experience and optimize your onboarding process! https://www.louassist.com/blog/advanced-guide-to-software-onboarding

I’m curious, where are y’all based? I’m wondering if we have enough population centers now to justify in-person meetings in a some places?

SLO Conference- it looks like an amazing event, and free! https://twitter.com/ahidalgosre/status/1641219695905849350?s=46&t=qjOqD4DeQ6vjh9EW1KZD0g

Multi-tenancy is apparently challenging even for Microsoft! https://twitter.com/hillai/status/1641146512712368128?s=20

New Hacking SaaS was sent out to subscribers this morning. This week we shared stories about: * Datadog's multi-tenant ingest pipeline * Airtable's multi-tenant architecture and its migration to MySQL 8.0 * Implementing collaborative SaaS apps without CRDTs * Economy of scale for multi-tenant applications * Clickhouse's in-depth writeup on their cloud architecture * Stackoverflow's developer survey If you don't get the emails, check it out here: https://hackingsaas.substack.com/p/hacking-saas-16-hard-problems-with

I loved the article about CRDT's (or lack there of).

Especially this bit

I am doing some research on Postgres RLS (https://www.postgresql.org/docs/current/ddl-rowsecurity.html). Has anyone used it before? Would love to understand usecases and your feedback about it?

Why Is Contract Negotiation So Painful? Visualise this. You agree to buy a car from someone and the first thing you agree is the price – £10,000. Then you discuss the mileage. Oh no, you say, for that price, I expect the mileage to be 50,000. On the contrary, says the seller, for that price a mileage in excess of 100,000 is entirely justified. You then say for £10,000 the car must be a hybrid. ’Fraid not, says the seller, it’s a diesel. And so on. No-one buys cars like this. We recognise instinctively that this is putting the cart before the horse. The logical order is: 1.agree exactly what you are buying/selling (fuel, mileage, engine, etc), and then 2 agree the price and payment terms. The reason that contract negotiations are so painful is that we often put the cart before the horse. We agree a few key points – price, duration – and then we try to retrofit the rest of the terms. So, of course, it becomes a complicated, protracted process – there’s no simple way to agree all the other terms because there’s no natural right or wrong for any of the deal points. How do you avoid this impasse? You agree a set of key terms upfront. These have to include (otherwise, what’s the point?) all the points that people invariably argue about (limitations of liability being a prime example). Once these are agreed, you agree a corresponding price. It’s not as glamourous as agreeing a few deal points and lobbing it over the wall for someone else to close off, but it’s cheaper, faster and – heavens to betsy! – more rational.

What are the best places to find keyword for your ecommerce site? And how to find it? 👇

Is anyone proposing/considering a rewrite of a terrible legacy system? @Isaac Askew and I would love to interview you on our podcast, https://www.neverrewrite.com/ We’ll talk through your problem and see if we can come up with some lower risk alternatives. You’ll get a fresh perspective on your problem and a chance to promote the kind of work you do to our audience. Hope to hear from you!

Hey 🙂 I'm curious which ORMs are y'all using with your Postgres DBs.

Interesting topic over at #C023CVBS736: https://all-about-saas.slack.com/archives/C023CVBS736/p1680680033509799

WAT?!?!

Really awesome financial modeling workshop coming up, led by Graphite Financial’s CEO Paul Bianco (current CEO and previous VC). REGISTER HERE

New on the SaaS Developer Youtube: Did you know that Postgres that lets you write data that you can’t query? Events that will show up in the write-ahead log (WAL) of the database but not in any table. Gunnar Morling, senior staff engineer at Decodable and world expert on change data capture, joined the SaaS developer youtube and walks us through data capture basics, this not-new but little-known feature, and dives into three key use cases (my favorite is the audit log) plus a bonus example that goes deeper into Postgres internals.