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Priyanka Gosaistarted a discussion
TinyCommand Live Session: Automating Real Use Cases
Most setups today use multiple tools: Zapier or Make for workflows Apollo or Clay for enrichment Typeform or similar tools for forms It works, but connecting everything takes effort and the system becomes harder to manage over time. We’re hosting a live TinyCommand session where we’ll take a few real use cases and build them end-to-end in one place. We’ll cover: capturing incoming data...
Priyanka Gosaistarted a discussion
At what point does giving AI more access start making it worse?
I’ve been testing this with an AI agent we use for outbound workflows. The agent’s job is simple: take a lead, generate a personalized outreach email, and send it. Before: The agent only had access to the lead’s basic details (name, company, role) and a prompt to write the email. Output was consistent, clean, and predictable(though the personalisation aspect was limited) . What we changed: We...
Priyanka Gosaileft a comment
We’ve actually experimented with this in the past. Some of our sales team already had strong personal presence on platforms like Instagram and TikTok. Instead of asking them to post “for the company,” we made it optional and turned it into a performance-driven model. Each of them got a unique referral code. They could create content in their own style, on their own terms. For every customer...
Brands use employees’ social networks as influencers. But what do employees get out of it?
Priyanka Gosaileft a comment
@lauragenno We use Intercom for support and it’s worked well for us so far. On top of that, we’ve set up an agent on TinyCommand that fetches all Intercom conversations, classifies them into things like bugs or feature requests, assigns a rough priority based on frequency, and then pushes everything into a sheet. It’s not perfect, but it gives us a very clear starting point. Every week, we...
Which support tools (and flows) your company is currently using?
Laura GennoJoin the discussion
Priyanka Gosaistarted a discussion
Who is accountable when an AI agent gets it wrong?
AI agents are increasingly making real decisions in businesses. They qualify leads, respond to customers, analyze data, and sometimes trigger actions that affect revenue or customer experience. As these systems move from suggesting to actually deciding, mistakes become inevitable. When that happens, responsibility becomes unclear. The user configured the system, the company built the product,...
Priyanka Gosaileft a comment
For me, the type of video doesn’t really influence my upvote decision. What matters is that I can quickly understand how the product actually works. I usually skip launches that only have animations or high-level explainers but don’t show the product in action. I want to see the interface and a real use case. For TinyCommand, we went with a straightforward demo-style video that walks through a...
What type of video actually works on a Product Hunt launch?
Aleksandar BlazhevJoin the discussion
Priyanka Gosaileft a comment
For us, the split is between access vs scale. On TinyCommand, core features like building workflows, using AI agents, forms, and integrations are available in the product so people can actually experience how it works. What becomes paid is usually usage and scale — things like the number of workflow executions, higher limits, or heavier automation usage. We’re also experimenting with a free...
How do you decide what features should be free and what should be paid?
Priyanka Gosaileft a comment
For me it’s mostly the name and tagline. If it immediately sounds like something that could help in my daily work or solve a problem I recognize, I’ll usually click and check it out. I rarely scroll through everything. It’s more like quick scanning and anything that feels instantly relevant or interesting gets the click.
What makes you click into a Product Hunt launch?
Priyanka Gosaileft a comment
I built my own personal finance tracking system using AI. I’m a software engineer by background, but I haven’t actively coded in years since my roles shifted more toward product. Before this, I was using ChatGPT to help analyze expenses and financial data, but I was never fully comfortable uploading sensitive statements into a public tool. So I used AI to help me build a small, personalized...
What have you been able to build with AI as a non-technical person?
Mona TruongJoin the discussion
Priyanka Gosaileft a comment
I think both things are true. In many categories, we are slicing the same pie thinner. AI lowered the barrier to building, so supply has exploded. That makes maintaining your share of the pie harder than ever. Standing still now often means losing ground. Because of that, I see more SaaS founders obsessing over marketing and distribution rather than just features. When building becomes easier,...
Is AI quietly saturating SaaS… or am I overthinking this?
Miraz Uddin YeasinJoin the discussion
Priyanka Gosaistarted a discussion
Are we over-automating? At what point does adding AI increase complexity instead of reducing it?
I have been thinking about situations where clients specifically ask for AI agents to simplify a process. On the surface, it sounds reasonable. They want something intelligent to classify, route, or decide. But when we go deeper into the actual workflow, we often find that the logic is completely structured. It might just be routing leads based on budget, geography, or service type. In those...
Priyanka Gosaileft a comment
Preparation and early momentum matter a lot. Make sure your homepage, video, visuals, and first comment are fully polished before launch, and aim to break into the top 10 early since most users only engage with featured products. Also, schedule outreach in advance to your team, customers, and broader network across multiple social media. We did this, and many customers who were not on Product...
Launching on Product Hunt Next Week... and Honestly, I'm Nervous
Imtiyaz Join the discussion
Priyanka Gosaileft a comment
Speaking from someone who has built companies in India and is now running a U.S.-registered company, I see this support as directionally positive but often overstated in the short term. If you look at the latest budget presented in Parliament, two sectors clearly received disproportionate focus: defense and deep tech, especially semiconductors. That signals intent. However, in practice, startup...
India's government is going to support their deep tech startup scene
Priyanka Gosaileft a comment
AI agents are very strong at analysis-heavy work like forecasting, scenario modeling, and competitive analysis because they can process large datasets faster than humans. The boundary for me is not insight generation but autonomous execution. I am comfortable letting agents crunch data and propose decisions, but a human should own the final call when accountability or second-order effects are...
How much do you trust AI agents?
Priyanka Gosaileft a comment
I have built in India and Singapore. India has very strong talent density and is particularly good for consumer-focused businesses. D2C, logistics, and services tied to physical operations scale very well there because of cost efficiency, market size, and execution speed. Singapore is strong for FinTech and regulated businesses due to access to capital, regulatory clarity, and regional customer...
Barring the US, where is the best startup eco-system?
Geetanjali ShrivastavaJoin the discussion
Priyanka Gosaileft a comment
From a PM lens, AI has been most valuable in execution-heavy work. I use it extensively for writing product specs, breaking them into user stories, and generating test cases, and it takes roughly one-fifth of the time compared to doing this manually. It helps me move faster from intent to structured output without compromising clarity. As a founder, we also use AI to automate operational...
How can AI actually help product managers and startup founders today?
Sasha DikanJoin the discussion
Priyanka Gosaileft a comment
@jake_friedberg At TinyCommand, we keep fixed, tiered SaaS pricing, but each plan comes with a credit-based system that internally accounts for compute and token usage. What this enables in practice: If a user primarily uses non-AI features, their credits last significantly longer. If a user heavily uses AI-powered steps, agents, or transformations, credits are consumed faster because real...
Is usage-based pricing becoming the norm for AI tools?
Jake FriedbergJoin the discussion
Priyanka Gosaileft a comment
@matt_rewo We generally prefer live demos because they let us tailor the walkthrough to a specific use case and show how the product is actually used in practice. When a demo resonates, we turn it into a short video and share it so others with a similar problem can learn from it as well. To communicate long term value, we focus on concrete outcomes such as reduced management effort or...
How do you approach demos for your product?
Priyanka Gosaileft a comment
One thing I would add from experience is to make sure you reach out to your existing customers at least three to four weeks before launch. These are the people who already understand the product and the problem it solves. Ask them to create a Product Hunt account ahead of time if they do not already have one. When launch day comes, they are far more likely to vouch for the product, leave...
2 weeks before the product launch. What am I doing in terms of preparation?
Priyanka Gosaileft a comment
@lightfield Thats a very relevant question. We’ve been debating this internally at TinyCommand as well, especially since we have got requests for language-specific settings from users in different regions. The way I currently look at it is this: adding another language isn’t just a product switch, it’s a go-to-market decision. Without a clear plan for distribution, support, onboarding, and...
When do you actually decide to go beyond English?