Productivity Apps

A market map with 10,000 companies is impossible to prioritize. These are the 300 to know. I was a VP of Product in sales tech. And I was frustrated with the maps I found. So I've been studying the space and speaking with experts. Here's the players you need to know: — ONE - Core: Revenue Operating System This is your CRM, your system of record - where your sales operation begins. I break this into 3 segments: Enterprise Platforms → Built for large organizations with complex workflows and high-volume deals → Salesforce, Oracle, Microsoft Dynamics 365, SAP Growth-Stage Solutions → Designed for growing businesses that need scalable tools but with flexibility to adapt → HubSpot, Pipedrive, Zoho CRM, SugarCRM Modern CRMs → Startups and fast-scaling companies looking to move fast without rigid systems rely on modern CRMs. → Attio, Affinity, Close.io, Copper, Freshsales. — LAYER TWO - Engagement & Intelligence These tools power outbound outreach, automate sequences, and provide real-time data on prospects: → Outreach, Salesloft, VanillaSoft, Groove Engagement tools ensure your team hits the right prospect at the right time. — LAYER THREE - Revenue Acceleration These platforms shorten deal cycles: → Gong, Salesloft, Chorus.ai, Ebsta With real-time feedback and actionable insights... — LAYER FOUR - Data & Enrichment Your outreach is only as good as the data backing it. These platforms ensure you’re reaching out to right prospects. → ZoomInfo, Apollo.io, Clearbit, Lusha, Hunter io, Cognism — SATELLITE CLUSTERS - Modern GTM Stack These tools enhance parts of the GTM journey. AI-Enhanced Tools → Automate and personalize content creation at scale. → Writer, Grammarly, CopyAI, Jasper Product-Led Motion → Identify sales-ready leads through product engagement. → Pocus, Intercom, Breyta Sales Enablement → Equip sales teams with training, resources, and playbooks to perform at their best. → Seismic, Spekit, Allego Conversational GTM → Convert prospects directly through real-time chat. → Drift (now part of Salesloft) — SATELLITE CLUSTERS- Emerging Categories These are adjacent categories sales teams often still use. Product Analytics → Track user behaviors post-sale for better upsell and retention opportunities. → Amplitude, Mixpanel Customer Success → Ensure long-term customer retention and success beyond the initial sale. → Gainsight, Catalyst, Totango Workspace Integration → Enable seamless collaboration across sales and operations. → Notion, Slack, Airtable, monday.com Revenue Orchestration → Connect workflows across different systems to streamline revenue operations. → NektarAI, Tray.io, Workato, Boomi — This took a lot of time. Reshare ♻️ if you loved this post. What tools would you add?

TRUE STORY: A trusted developer embedded a "kill switch" that locked out thousands of corporate users worldwide—triggered the moment his credentials were revoked. The cost? Hundreds of thousands in damages. The lesson? Insider threats from privileged users are real, and they’re escalating. 🧾 Case Summary In August 2025, Davis Lu, a former software developer at large corporation, was sentenced to four years in federal prison for deploying malicious code across his employer’s network. See https://lnkd.in/edJggBKu. After a corporate restructuring reduced his access, Lu planted sabotage scripts including a “kill switch” that activated when his account was disabled. The code crashed servers, deleted coworker profiles, and locked out thousands of users globally. His actions caused extensive disruption and financial loss, and his digital footprint revealed deliberate planning to evade detection. ✅ Help Prevent Cyber Sabotage from a Privileged Insider 1. Implement Role-Based Access Controls (RBAC) Limit access to sensitive systems based on job function. No single employee should hold unchecked privileges. 2. Conduct Regular Privilege Audits Regularly review who has elevated access—and why. Remove dormant or unnecessary accounts promptly. Such reviews should ideally take place at least quarterly. 3. Monitor for Anomalous Behavior Use behavioral analytics to flag unusual activity like privilege escalation, mass deletions, or off-hours access. 4. Enforce Code Review and Change Management Require peer review and approval for all code deployments, especially in production environments. 5. Deploy Insider Threat Detection Tools Invest in platforms that correlate user behavior, access logs, and system changes to identify risks early. 6. Establish a Clear Offboarding Protocol Disable access in a controlled sequence. Monitor systems closely during and after termination events. 7. Encrypt and Log Developer Actions Maintain immutable logs of code changes and admin actions. Encryption helps ensure integrity; logging helps ensure accountability. 8. Foster a Culture of Transparency and Respect Many insider threats stem from resentment or perceived injustice. Proactive communication and fair treatment matter. 9. Engage Legal and Cyber Teams Early Legal counsel should be looped in on high-risk terminations, especially those involving privileged users. 10. Build Relationships with Law Enforcement The FBI encourages proactive engagement to mitigate insider threats. Don’t wait until it’s too late. What other recommendations would you add? Please feel free to include in the comments.

Dealing with multiple document libraries in Teams? I've seen many IT professionals and team leads grapple with this, let's try and simplify things. SharePoint Views and Teams Tabs. Here's a straightforward method I've implemented with clients, with pretty good feedback and results. Here’s how it works. - Use SharePoint Views to organize documents (e.g., Approved, In Review) - Copy the URL of each view - Add a SharePoint tab in Teams, pasting the specific view link - Rename the tab (bonus: add an emoji for quick recognition) - One click, and you’re where you need to be. No endless searching. No frustration. This setup works even if your files live in different SharePoint sites! Plus, you can take it further by creating a file dashboard in SharePoint and embedding it into Teams for a seamless experience. I’ve implemented this approach with multiple clients—and the feedback has been amazing. More efficiency, less chaos. This simple adjustment can help bridge the gap between SharePoint and Teams, creating a seamless workflow. Try it out and let me know how it works for you! Question for you. What's your biggest challenge with file management in Teams and SharePoint? Have you found any hacks or solutions that made a difference? Share your experiences below—your insight might just help someone turn their workflow around. 👇

As product managers, we spend a lot of time trying to understand user friction and solve for it in the products we build. But we often only perceive and solve for the most obvious form of friction when we in fact should be spending more of our time addressing the higher level forms of friction that our users regular experience. Let's break down the three types of friction users experience in our products: 💻 Interaction Friction - Friction a user experiences when interacting with our product's interface. It covers all aspects of the UI that may be hindering our users from accomplish their goal. Most of the popular best practices revolve around solving this type of friction, including things like A/B testing, usability testing, consistent interfaces, etc. 🧠 Cognitive Friction - Cognitive load refers to the total amount of mental effort being used in working memory. Cognitive friction is anything that increases cognitive load for the user. This is a far broader though often overlooked form of friction. Uber is a great example of an app that significantly reduced the cognitive friction compared to calling a taxi. Before you had to find the phone number for a local taxi company, call to schedule a ride, call back multiple times since no one picked up, get an untrustable estimate on when they will arrive, etc. Uber was able to remove nearly all of this cognitive friction from the ride hailing experience. 😩 Emotional Friction - Emotions a user feels that prevent them from accomplishing their goal. This is often the very hardest to perceive but by far the most impactful if you can resolve. Tinder offers the perfect example of emotional friction. The previous generation of dating experiences were incredibly intimidating since they required you to put in a ton of effort creating a profile, searching for potential matches, reaching out to people of interest, and ultimately experiencing a ton of rejection. Tinder's swipe right innovation quickly helped you determine mutual interest between both parties, removing much of the emotional friction of the previous generation of online dating experiences, resulting in online dating ultimately becoming mainstream. 👇 Read today's essay to learn more about each of these types of user friction and best practices for solving for them in your own product experience. https://lnkd.in/gHWW_WJ

Continuously growing utilization of AI applications in day-to-day business 💡   The potential of artificial intelligence to enhance productivity and communication is enormous, provided that the right security standards are in place. Currently, we at TÜV Rheinland Group are already using numerous different AI-tools, e.g. the following applications:   👉 TUV-GPT: Automatically compiles documents, aids in targeted research, and creates service descriptions. Unlike the OpenAI model, TUV-GPT operates in our own European cloud environment.   👉 VOIZE App: Allows vehicle inspectors to capture defects via voice command on their smartphones, with the AI automatically generating the necessary documentation.   👉 Legal Chatbot: Provides information on various legal topics, such as standard contracts, contract reviews, NDAs, damage cases, and IP rights.   👉 AI-based forecasting in Controlling: Utilizes machine learning to provide precise decision-making suggestions to management.   Our experience has shown its effectiveness. Embracing the benefits of new technologies and continuously improving them significantly contributes to our corporate goals. Currently, there are more AI applications in development. 🚀   How is your company dealing with the opportunities and challenges of AI? Looking forward to your insights! #KI #AI #Certification #Cybersecurity #tuvrheinland

How AI Boosted Our Engineering Productivity by 18% in Just 30 Days 🚀 That’s exactly what we discovered during a recent pilot program at Cognism, where we tested AI-powered coding assistants. The results were too exciting not to share! Why We Tried AI Our engineering team is always looking for ways to work smarter. We introduced this AI tool with three goals in mind: ✅ Automate repetitive tasks ✅ Accelerate development cycles ✅ Empower our team to focus on innovation We gamified adoption by rewarding our early adopters who showed the greatest productivity gains—and their feedback was key in shaping the rollout. The Numbers Don’t Lie Here’s what the pilot achieved: 📈 31% more issues resolved—less time on repetitive work, more time on creative problem-solving. 🔗 21% more pull requests (PRs) merged—quicker features, faster deliverability. ⏱️ 3% faster PR cycle time—a small win that we know can grow. Overall, an 18% productivity boost for our engineering team. What We Learned 1️⃣ It’s not perfect yet. AI isn’t replacing human developers, but it’s transforming how we approach mundane tasks. 2️⃣ Focus matters. The real value is freeing up time for innovation—our developers can concentrate on solving complex challenges, not repetitive ones. 3️⃣ It’s just the beginning. As these tools evolve, the potential gains could be exponential. The tool we selected : www.cursor.com Please comment below with your own findings and tools you are testing.

People have asked me what my AI productivity stack looks like. Here's a list of my 3 best AI tools that I use to scale myself, as a startup founder. 1) Zapier Zapier helps me automate workflows across different apps without coding. Put simply, you can eliminate a lot of mind-numbing, mundane tasks like data entry. I've used it to automate tasks like: (i) pinging users on WhatsApp after they've signed up on Peek, and (ii) updating call summaries into our CRM. They've made it possible to create these workflows by simply telling its AI zap creator what you want it to do. 2) Fireflies.ai As a founder, some days I have to be on calls for hours; with existing clients or onboarding new ones. But taking calls is the easy part. Generating summaries to keep track of what was discussed, and following up on actionable items is where it gets harder to keep up. Fireflies uses AI to help me transcribe, summarize, and follow up on calls with the help of Zapier. 3) Cursor (by Anysphere) I've previously written about how I build mini webapps to validate demand for a feature idea - before committing any engineering time and resources to build it into the product. Cursor is an AI code editor that helps me write code using natural language. So even as a non-technical founder, I can quickly build "minimally viable features" without having to distract my tech team. Personal finance is one area of our lives where AI can help you stay on top of otherwise very messy, and frustrating tasks. At Peek, we're trying to use AI to be your personal CFO. I'm always curious to know how you are using AI tools in your own work to supercharge your productivity. Let me know the best hacks you've discovered!

AI productivity tools are real. These are 3 that deliver tangible leverage. In our world, leverage is everything. I am constantly testing new technology to find what actually works, not what is just a distraction. This is my current productivity stack. 1. Wispr Flow This is the most powerful voice-to-text automation I have used. It took my output from a 30-40 wpm bottleneck to 130 wpm. Its ability to handle accurate punctuation across all communications is a fundamental game-changer. 2. Fyxer AI An AI assistant directly connected to my inbox. It classifies all incoming email and, more importantly, drafts accurate replies for me. The company claims it gets you back an hour a day. I have found this to be accurate. 3. Lindy AI This tool allows non-technical people to build custom AI agents using simple prompts. This is key. You can automate any repetitive digital task. I use it for meeting prep, where it provides summaries of attendees and our past comms, and for post-call breakdowns, delivering clear topics and next steps. This is a stack for high-output execution. What tools are in your productivity stack?

📦 JOBS-LED PRICING CANVAS™ A 10-step framework for transforming feature-led products into monetization-ready, jobs-based pricing models. Built on 4 stages: 1. Product (Discovery Layer) 2. Value (Logic Layer) 3. Customer (Preference Layer) 4. Pricing (Monetization Layer) 🔹 STAGE 1: PRODUCT [Discovery Layer] 🔹 Step 1: Feature Inventory What it is: ▪️ List every feature, tool, and function in the product
▪️ Include hidden, premium, or internal-use features Why it matters: ▪️ Creates a complete picture of what’s being delivered
▪️ Prevents missing monetizable elements 🔹 Step 2: Feature to Plan Mapping What it is: ▪️ Show how features are bundled into pricing plans today
▪️ Expose arbitrary or legacy packaging logic Why it matters: ▪️ Reveals pricing misalignment with value
▪️ Highlights over- or under-incentivized plans 🔹 Step 3: Feature Usage Mapping What it is: ▪️ Track actual customer usage of each feature
▪️ Look for engagement patterns by segment Why it matters: ▪️ Identifies “dead weight” vs “core value” features
▪️ Helps assess ROI per feature 🧠 STAGE 2: VALUE [Logic Layer] 🔹 Step 4: Feature Valuation What it is: ▪️ Qualitatively or quantitatively assign value to each feature
▪️ Use proxies: time saved, revenue unlocked, cost reduced Why it matters: ▪️ Establishes which features are worth monetizing
▪️ Anchors the price-to-value logic 🔹 Step 5: Jobs Identification What it is: ▪️ Identify core Jobs-To-Be-Done (JTBD) your product enables
▪️ Use user interviews, surveys, task analysis Why it matters: ▪️ Shifts the model from features to outcomes
▪️ Connects monetization to customer success 🔹 Step 6: Feature–Jobs Mapping What it is: ▪️ Map each feature to one or more customer Jobs
▪️ Create a logic layer: feature → outcome → value Why it matters: ▪️ Bridges product design with pricing strategy
▪️ Enables bundling and upsell opportunities around outcomes 🎯 STAGE 3: CUSTOMER [Preference Layer] 🔹 Step 7: Rank Jobs What it is: ▪️ Prioritize Jobs by importance and frequency
▪️ Use customer feedback and behavior data Why it matters: ▪️ Surfaces which outcomes matter most
▪️ Enables tiering or segmentation logic 🔹 Step 8: Value Jobs What it is: ▪️ Quantify perceived value of each Job
▪️ Use surveys, conjoint analysis, BWS, or proxies Why it matters: ▪️ Links value perception to potential willingness to pay
▪️ Avoids feature-based pricing traps 💰 STAGE 4: PRICING [Monetization Layer] 🔹 Step 9: Value Capture [%] Analysis What it is: ▪️ Decide what % of value created you can capture
▪️ Compare to industry benchmarks or strategic posture Why it matters: ▪️ Sets pricing defensibility
▪️ Avoids overcharging or leaving money on the table 🔹 Step 10: Pricing Metric / Model What it is: ▪️ Choose pricing metric: per seat, usage, credits, % of revenue, hybrid
▪️ Align it to how value is delivered + Jobs solved Why it matters: ▪️ Ensures pricing scales with value
▪️ Sets the business up for sustainable revenue growth #Pricing

One platform. Big shift in how I manage distributed teams. As founders, our to-do lists never end. Context-switching is constant. And deep work? Rare, especially when managing remote teams across time zones. I used to juggle tools: 👉 Jira for tasks 👉 Slack for communication 👉 Google Drive for docs 👉 Invoicing tools 👉 Capterra & G2 for product research Each one solved a piece of the puzzle. But together? They created friction. They slowed me down. That’s when we built our own answer: a 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐂𝐞𝐧𝐭𝐞𝐫. 💡 What changed with AiDOOS VDC? ↳ Everything under one roof, from project boards to document sharing ↳ No more hopping between 5 tools just to close one task ↳ Communication, collaboration, delivery, fully integrated Result? → Less tool fatigue → More focus → Teams in sync, even across borders, right from our VDC in 𝐒𝐚𝐧 𝐅𝐫𝐚𝐧𝐜𝐢𝐬𝐜𝐨 But the real win? - It’s not just about tool consolidation. - It’s about reclaiming mental bandwidth. - The fewer micro-decisions we make each day, the more we focus on building. Lesson? 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐢𝐬𝐧’𝐭 𝐚𝐛𝐨𝐮𝐭 𝐦𝐨𝐫𝐞 𝐭𝐨𝐨𝐥𝐬. 𝐈𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐨𝐧𝐞 𝐮𝐧𝐢𝐟𝐢𝐞𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰. If you're a founder or CTO managing distributed delivery, don’t just stack tools. Build a Virtual Delivery Center. That’s what AiDOOS is. ♻ Repost to help someone build smarter, not just harder. 💡 Follow Krishna for real-world insights on distributed teams, smart workflows, and founder-first execution.    📌 30+ Founders & CTOs use AIDOOS to stay lean, fast, and focused on what matters most. #VirtualDeliveryCenter #AIDOOS #RemoteWork #WorkflowOptimization #TechLeadership #ProductivityTools #StartupLife #FoundersJourney #BuildSmart #SKVReddy #SanFrancisco