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Brooklyn, New York, United States
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Explore more posts
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Sagar Batchu
Build vs Buy, the great internal debate every developer product has to overcome when selling to companies of all sizes. I had a great chat with Han Wang at Mintlify on how he sees Build vs Buy. Whether its docs, sdks or any part of the developer stack you will always meet great product teams that believe they should build and maintain exactly what your product does in house. Here are some takeaways 👀 ⏹ Its all about control. You're product needs to increase your users ability to ship high quality product. Think deeply about where you should blackbox vs expose controls to the user. ⏹ Quality. Do you think your product reflects the quality at which they could build AND maintain this themselves ? ⏹ Our job as vendors is to grow with companies over time. As your product matures the gap between what you can do vs what can be built in house will quickly diminish. If you're buyer of docs or sdks how do you think about build vs buy ? 👇 Speakeasy #sdks #docs #buildvsbuy
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5 Comments -
Adil Aijaz
InVision has experienced the biggest fall from glory in Silicon Valley's recent history. $350M raised with a peak valuation of $2B. And now they are shutting down. Not acquihired or "acquired by private equity" or strategic tuck-in. Just a hard stop. It's so easy to s**t on them. They got out-innovated, they were not product driven etc. etc. But, the truth is most startups that raised monster rounds in ZIRP days could face this deadend. You raised too much money: 1/ So you are too expensive to acquire 2/ So you raised your burn too high to finance a big GTM team 2/ So you got complacent on product 3/ So you got lazy on shipping There will be a lot more inVisions in the next 24 months as startups run out of capital. It's sad. The employees & founders at these companies gave it their all, but raising too much money sealed their fate. For the next gen of startup founders, heed this advice: raise little, keep your burn low, ship fast!
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Ivan Barajas Vargas
Founders/CEOs/COOs/CTOs: if you're seeing downtime, defects, and delays… and have been hearing that "we're fixing this internally" but haven't seen much progress… Bad news: You might NEVER see progress. You're in the "quality trap." Here's what's REALLY happening (and what to do about it): 1 - Your testing team is overloaded Maybe you have existing testers; maybe engineers are doing their own testing. No matter what: They are behind. And playing "catch up" in testing is insanely difficult. Almost impossible, unless you radically scale the team. (And even then, it's almost impossible to make fast progress. a.k.a. diminishing returns) 2 - Your engineering leadership doesn't want to allocate more budget to testing. They probably feel like investing in QA and testing is directly competitive to hiring more engineers and build more product. They feel like they're currently understaffed to meet the roadmap goals. AND they feel like bringing you additional budget requests for new testing ideas could be a big risk. What if you say, "Why should you get MORE budget if you're not effectively shipping good software with your existing budget?" When you're in the quality trap… the stress prevents you from making bold, necessary moves. – SO WHAT? YOU, Founder/CEO/COO/CTO, have to bring them new ideas; don't expect them to bring YOU new ideas. My biased recommendation is to look into AI-powered QA services, that can plug in and take a lot of the testing load off your team. If YOU suggest they look into this, and tell finance we need to budget for this, it will happen, and you'll escape the quality trap. If not, expect more of what you've been getting.
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47 Comments -
Natan 🌱 Fisher
How does David beat Goliath aka early-stage startups close candidates also interviewing at FAANG / larger companies? Generally, they don’t, but here’s what @SingleSprout's data (80% offer close rate in last 6 months) says: 1) $30k: If the offer from a big company exceeds yours by over $30k, you're very likely not going to get that candidate. 2) # of Competitors: A candidate considering one large company might still be within reach. However, the more large companies they entertain, the less likely you'll get them. 3) Motivation: Understanding why a candidate genuinely prefers your company is crucial. Look for and test for interest in impact, equity, and the entrepreneurial journey. Unfortunately, most startups hiring on their own can't get this level of information from a candidate, and sadly waste a lot of precious time :(
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10 Comments -
Fynn Glover
"Monetization must be a first-class citizen in your product from Day 1 & if you're not thinking about entitlements early on, you're not setting yourself up for success." -- Justin Gagnon Justin leads growth engineering at Calendly, which means he's built & evolved monetization in the context of both hyper-growth & scale. We sat down last week for a conversation about feature management, monetization, and the services needed to deliver flexible pricing & packaging at scale. Some of the topics we covered: 1️⃣ Why monetization is so complex in B2B SaaS 2️⃣ The role of entitlements 3️⃣ Paying down bad product decisions vs. bad monetization decisions 4️⃣ How Justin & team built monetization infrastructure at Calendly 5️⃣ The tech & commercial debt that comes when monetization is a last-class citizen If you're a product & engineering leader, I highly recommend this episode with Justin. Schematic has learned much from him over the last year and so very excited to share the full episode (link in the comments).
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1 Comment -
Francie O. Himes
Adopting DX was a "no brainer" for Plaid. Their Platform Product Manager explains, "Building a similar solution in-house would be very expensive and non-differentiated. Additionally, we gained expert guidance from DX on leveraging metrics relevant to our business." After choosing DX, their team gained the insights they needed in about a week, starting with DX’s DevEx 360 product, followed by PlatformX for real-time surveys and Data Cloud for integrating quantitative metrics. "DX has transformed how we think about operating the platform, prioritizing investments, and defining success. It’s a cultural shift. Now, discussions are backed by data from DX." Curious how DX can drive similar results for your team? Check out the full case study – link in the comments. #SoftwareEngineering #DeveloperIntelligence #DeveloperProductivity #DeveloperExperience #PlatformTeam #Metrics #DX #TechTransformation #CaseStudy #DataDriven #EngineeringExcellence
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6 Comments -
Amanda Schwartz Ramirez
As company-builders, we hear that values matter. But often, they feel like words on a page — established with great care, however easily forgotten. At Garden Labs, we work with companies (some startups, some publicly traded) who are at inflection points. They are scaling after a major funding round, pivoting strategically, restructuring for more efficient growth, turning over leadership. These all have the potential to be company and org-defining moments, where teams emerge with renewed energy to continue the ever-winding journey that is ahead. Or, they have the potential to bring on immense churn, burnout and loss of momentum. One observation that’s jumped out at me over the last year is this: Companies with a clear set of values navigate inflections with more clarity and conviction than those without. In these moments, as a founder / CEO: --> Are you being brave and principled? or fearful and reckless? --> Are you executing with care and foresight, or are you creating more problems than opportunities? --> Are you taking input to inform your path, or are you allowing recency bias to determine your fate? In all cases, clear and internalized company values can act as a compass. And while you may not need a compass everyday – when you’re lost in the woods, I bet you’re thrilled that you have one.
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1 Comment -
Ammar J.
Solve for information asymmetries! Architecture & Civil Engineering - Layout interpretation ~other industries: Healthcare - <Prescription> interpretation Financial Products - <Subject to market risks documentation> interpretation Loans - <Fine print> interpretation There’s going to be a slew of startups commercialising this year with a value prop of simplification using AI
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Jordan Wan, CFA 🇨🇦
TWO OR THREE-STEPPING TO SERIES A A lot of software founders are still trying to raise a $4-5M seed round from a pre-revenue standpoint to get to Series A. I get that we all want more buffer nowadays but it's also a harder calculus to go from pre-monetization, to early customers, to giving yourself enough sales cycle time in order to hit $1-2M ARR proxy for a strong A. Which is why inevitably, more founders end up having to raise messy extensions/bridges/Seed II or whatever you want to call them. So my advice is that IF you have the luxury of starting a company today, PLAN AHEAD. Even prior to even raising your first angel round. Break up your path to Series A into 2 or 3 tranches of mission-driven capital. Each tranche has a clear goal that you can rally your team and investors around. For example: First tranche to build the product and get early design partners. Second tranche to get to $300K of ARR. Third tranche to get to Series A. This will help support higher operating discipline and awareness. Incremental purchasing and hiring decisions will instantaneously shorten your runway in a way that a larger $5 million seed round obfuscates. And you'll be motivated to find GTM efficiency faster in the journey. Great habits for long term success. For context, Peter Walker of Carta recently sent an update on the arduous path from Seed to Series A. The survival rate is about 1/2 of what it used to be: "Something like 20-24% of startups that raised a seed round would graduate to their Series A in 24 months or less. For companies that raised their seeds in H1 2022, only 13% have made it to Series A across the 6 industries in the chart."
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5 Comments -
Alexander Nevedovsky
🚨 Announcing the 2nd cohort of the FundraisingHackers.com “Seed+ bootcamp” we’re hosting together with Slava Solonitsyn (ex-VC and top YC founder, $180M+ raised), read below. A few weeks ago we ended the 1st cohort and it truly was a blast 🎇 14 startups across Seed, Seed+/Series A stages (and US/Europe/Asia) participated, including YC alums and exited founders. A bunch of them have already successfully raised. Some are in the process right now. Some have postponed their raise saving them a bunch of time/nerves not spent on failed fundraising. This pic is from the final workshop we’ve hosted. If you’re fundraising (or planning to in the next 3-6 months) you defo wanna check this out. This is not a course — we’ve already outsourced our “parallel fundraising playbook” (comment with “playbook” if you want the link). Instead, we provide you with a deep dive into YC-style best fundraising practices and give you a supportive environment to go and raise, period: 1. Share the “off the record” ins and outs of the parallel fundraising playbook with real-life examples/stories we’re never going to share anywhere else publicly 2. Help you understand your momentum and fundraising timeline so as not to make the wrong (too early/too late) decision 3. Provide you with an accountability group of peer founders (your first taskforce members if you don’t have any yet!) 4. Help you to refine your story/narrative and pitch materials to meet the expectations of top VCs 5. Work through your challenges/questions during office hours/group workshops 6. Give you access to our exclusive FundraisingHackers.com workspace with tons of useful content: from investor databases to guides, tools, templates, and much more Places are limited and you can get in on a first come first serve basis, so hurry up and apply, link is in the comments.
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9 Comments -
Keith Cline
It had been far too long since I last caught up with Andrew Lau, CEO & Co-Founder of Jellyfish, to get the latest on the company. We also discuss the results from their State of Engineering Management Report. In this video, we chat about: * Details about Jellyfish * Customer examples & use cases * Finding from their State of Engineering Management Report * The culture at Jellyfish * Why Jellyfish should be on your radar for your career
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3 Comments -
Kunal Sarda
Day #4 of observations from attending Home Care 100 this month: There is a cambrian explosion of "AI scribe for OASIS docs in <15 min" startups currently underway in Home Health. A new one of these is launching every few months. I'm certain we'll see 2x AI scribe vendors at the next HC100 in January. And so, I listened for the overall positioning of these products by the vendor and buyer at Home Care 100. It sounded like this: HH CEO: “I need a solution to lower the caregiver burden of clinical documentation” HH Vendor: “I offer AI to reduce the burden of clinical documentation” This may sound like a "checkmate" match between what the CEO is saying, and what the vendor is offering. But it isn't. The CEO actually has a business model problem. They cannot afford to sufficiently pay for the time it takes for caregivers to complete clinical documentation. And so, they are stuck looking for solutions that minimize the cost of personal time on documentation that caregivers have to absorb. Solutions that offer AI and the promise of driving down this cost down for the caregiver are the start, but not the endgame. If I were not building Arya, and wanted to build a standout documentation product, I would build an "AI-powered clinical documentation agency", not an AI scribe. Here's what this AI-powered documentation agency would sound like: 1. We eliminate 90% of all clinical documentation at your company. We do it at 1/10th the cost of a traditional outsourced documentation shop 2. We do this by a human-in-the-loop AI solution, that allows our human documenters to work 10x faster than DIY 3. Under the hood, we integrate with *all* the best AI out there (incl. ChatGPT) in a SOC2+ HIPAA guaranteed environment. We decide the best AI+human workflow to use for each documentation on the fly. Regardless, you always pay a flat rate, and we absorb the risk or AI vs human effort 4. Your caregivers approve each human-in-the-loop documentation. We don't publish anything to the EHR till it's approved 5. We guarantee a <1% error/ change rate on our documentation from caregivers, or we offer some money back I did some back of the napkin math to see what the economics of an such an agency might look like. With the current math, the caregiver is still absorbing upwards of $10 worth of time per OASIS documentation. If an AI-powered agency drove this cost down to the single digits per doc, might HH agencies be able to work this into their financial model and take this off the caregiver's plate entirely? Here's hoping for a "we've got you covered on the documentation " caregiver benefit coming in the future. #homecare #homecareagencies #HC100 #homecare100 #homehealth
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Matt Turck
How to pitch: The company has zero traction —> “We’re early” You only have 2 customers —> “We’re working with design partners” You currently have no revenue but hoping some pipeline finally closes —> “we’re on track to exit this year at $3M ARR” You’re in the natural kill zone of a FAANG —> “We view them as partners rather than competitors” There’s no way the tech can actually work —>“We’re manifesting the future” And of course: One of your developers uses Co-Pilot to write some front end code —> “We’re an AI company”
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65 Comments -
Thiyagarajan Maruthavanan (Rajan)
Going from Zero to Product Market Fit is like getting out of a Bermuda Triangle For every direction that works out, an equal and opposite direction works too It is shocking how few get to product market fit Only 15 out of 100 SaaS companies get to a million dollars in revenue When you have PMF, it is an awesome feeling Everything is going smoothly for you It also feels scary and out of control You push one unit, and ten units of progress happen But when you don’t have it…. You push ten units of effort, and not even a unit of progress happens It feels like a Sisyphean punishment Moving a boulder up the mountain In the GenAI age, I hear arguments that go “The focus should be on the core functionality. Like how musicians concentrate on the music itself” This is clearly a faulty analogy Businesses providing playback formats (cassette tapes, CDs) are obsolete today Gen AI brings AI below the API No more does one need to stand up a team in ML Spend a few million dollars to “translate languages” or “transcribe accurately” GenAI now assures that Getting to PMF boils down to the basics - Do you understand the problem deeply - Can you build a 10x better solution - Can you execute & iterate faster - Don’t die in the process (cash) What has worked for you to get out of the Bermuda triangle?
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4 Comments -
Samantha Anderl
There are two main things we did to give ourselves more runway with Harlow while bootstrapping the business: 1. Cut costs so that we operate at break-even, which extends our business runway infinitely to give us more time to do focused tests to figure out PMF and which growth channels will work for us. 2. Brought on consulting clients so we could make money, which extends our personal runway infinitely by allowing us to feel more safe and comfortable while building. How are my other bootstrapped founders making it work?
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2 Comments -
Alexander Small
Learn how to fine-tune your product to meet market demands with strategic customer conversations and data-driven feedback mechanisms 👇 ➡ 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗲: Brian Long, CEO & Co-Founder at Attentive 🔌 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗿: Nick Moran, General Partner at New Stack Ventures and Nate Pierotti, Principal at New Stack Ventures ✏ “The Playbook to Finding Product-Market Fit, When Founders Should Begin to Scale, and Lessons from Building Attentive” ⭐ 𝗦𝗮𝘃𝗲 𝘁𝗶𝗺𝗲 𝗯𝘆 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝘁𝗼 𝗮 𝘁𝗿𝗲𝗺𝗲𝗻𝗱𝗼𝘂𝘀 𝗮𝗺𝗼𝘂𝗻𝘁 𝗼𝗳 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀: 💬 "I think that what we got right were two things. One, I think that we talked to a tremendous amount of customers, before we started building things. So we learned to hear their problems, hear their issues, and then start building and assaulting those, you know, rather than kind of just jumping right into build-build-build, so that saved us a lot of time." ⭐ 𝗚𝗲𝘁 𝗾𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝘀𝗰𝗼𝗿𝗲𝘀 𝗳𝗿𝗼𝗺 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗾𝘂𝗮𝗹𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸, 𝘁𝗼 𝗼𝘃𝗲𝗿𝗰𝗼𝗺𝗲 𝗽𝗼𝗹𝗶𝘁𝗲𝗻𝗲𝘀𝘀 𝗯𝗶𝗮𝘀: 💬 "I think you're also looking at things like NPS, you know… because if that number starts dropping, it's often because you're no longer solving the problem." ⭐ 𝗧𝗮𝗸𝗲 𝗮 𝗹𝗼𝗻𝗴-𝘁𝗲𝗿𝗺 𝘃𝗶𝗲𝘄 𝗮𝗻𝗱 𝗵𝗮𝘃𝗲 𝗮 𝘁𝗵𝗲𝘀𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁 𝗶𝘀 𝗴𝗼𝗶𝗻𝗴 𝘄𝗵𝗲𝗻 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝘆: 💬 "I think that we've taken an even longer term focus. We know what can be big. And we know it's dangerous to start getting an ego to think you can do things because it's always very hard. You've always got to think towards taking a longer term view, having a thesis around that view, and then understand how the pieces can come together for success." ───── 👉 Follow me, Alexander Small, for tactics and strategies for building startups from industry-leading Founders, Operators and Investors
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Alex Kottoor
Building early stage startup momentum? Make sure your speed-to-help is measured in minutes. In today’s environment, you can’t wait days for help. You have to get unstuck fast. With timely advice, execution quickens. Thats the power of a safe-space community that’s built on ‘giving’. It’s our foundational value. You should give what we are building a try. Zero risk. DM me to learn more. We’re happy to tee up a call. Happy Wednesday, ya’ll. ———— Please consider ♻️ with founders in your network. As early stage founders, we at times, are a problem away from sinking or propelling forward.
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21 Comments -
Kjael Skaalerud
I had an absolute blast with Michel Gagnon and the Stun and Awe crew - THANKS again for having me... Sneak peek of the substance below: > Micro SaaS companies can be just as safe and stable as larger businesses, offering lower valuations and less competition from institutional players. > Founder-product fit is crucial, as founders solving their own problems often create useful products with great retention. > Founder burnout can be a buying signal, indicating a solid business with a founder ready to move on. > The first 90 days post-acquisition should focus on visibility, documentation, transition, and validating diligence assumptions before pursuing growth. > Building transparently and maintaining open communication with users post-acquisition helps preserve the human element and avoid the pitfall of going silent. > Simplicity equals mastery - if it takes a complex explanation to justify an acquisition, you probably don't fully understand the business. > Establishing reasonable incremental growth goals based on baseline performance (systems over goals) is more effective than setting arbitrary targets. > Fostering a culture of care and respect enables honest feedback and allows teams to move faster through a shared commitment to truth-seeking.
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Pranjal Daga
Is “launch early” bad advice? I always thought it was a cliche VC tagline… but (annoyingly) it actually works. We launched Accend (YC S23) publicly a couple of weeks ago with our press announcement in Axios, and the effects we’ve seen are incredible. More people booking demos, reaching out, wanting to join our team. Of course, it helps to have a product that does what it says and a line up of customers to give us more credibility. The hard part about launching early is learning how to separate the noise from substance. More people are booking calls with me through the link in my bio - but a lot of those conversations don’t go anywhere and aren’t a good fit for Accend. Even though it’s easy to get starry-eyed seeing the metrics go up, more demos doesn’t mean more conversions and more sales. You have to ringfence the core audience you’re trying to serve - for us, that’s fintech platforms and banks struggling with manual KYB - and double click into it. It takes a lot of focus and discipline to avoid getting distracted, but all-in-all it’s been a net-positive throwing ourselves into the spotlight. So even if you don’t feel 100% ready, just launch. You can always course-correct later.
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Harry Glaser
It used to be commonplace for boards to replace founding CEOs as the company started to scale up. After all, operating at scale is a very different skillset from building a disruptive product. There are many great reasons we've largely moved away from that model. But one downside is seeing promising companies derailed as founders screw up the basics of putting together an exec team and an operating structure. It's not rocket science! But it is a new skill to learn. How to build and run your exec team: https://lnkd.in/gK6csSki
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