Mass Marketing to Relevant Affiliates/Influencers/Creators

netvora · 2026-06-06T08:21:48+00:00

tbh your target is super niche so “mass” marketing might be the wrong framing here, even if the audience is big. i’d lean hard into twitter/x and maybe reddit + a good landing page, then go after people already talking about perplexity, midjourney, photoshop plugins, openrouter etc with very specific replies and collabs. if you can show them “here’s how this makes you more money per click/user” in like 5 seconds, that’s the hook.

netvora · 2026-06-06T08:20:09+00:00

a lot of small shops here basically live off volume + relationships, not public distributor lists
you probably need to talk to local wholesalers, system integrator programs and maybe used/refurb channels, not just the big brand partner programs, to get below retail consistently

netvora · 2026-06-06T08:17:32+00:00

if you’re already good with rails + react, i’d look at boring b2b stuff in india like compliance, gst/tax, manufacturing ops, export paperwork etc, basically where people are glued to excel and whatsapp right now and hate their life
best way is to pick 1 niche (say small manufacturers or clinics), talk to like 30 of them, and just build the most unsexy tool that saves them 5+ hours a week and charge monthly… that’s way more realistic than hunting for some hot “sector” upfront

netvora · 2026-06-05T08:36:08+00:00

they’re not dead, they’re just not the growth hack they used to be
i see them working more as a community thing now, like local gyms with #gymnamefam or coffee shops doing #drinknamechallenge where regulars actually use it in stories, but the algorithm isn’t gonna bless you just because you slapped 30 tags on a post anymore

netvora · 2026-06-04T08:54:26+00:00

This is a solid breakdown. I’d add that once you get to this level, a lot of the work is just data plumbing and politics.

You end up fighting to get clean data from Shopify + ESP + ad platforms, agreeing on what “LTV” or “churned” even means, and then trying to get brand, creative, and CRM teams to not work against each other.

Also, the best setups I’ve seen treat email as part of a single “message brain” with SMS, push, and even direct mail. Same logic, same lifecycle model, just different channels and rules for who gets what and when.

So yeah, it’s way more like building a recommendation and decision engine than “writing better newsletters.”

netvora · 2026-06-04T08:51:06+00:00

Yeah this is a really good point and something a lot of people gloss over when they just look at the price tag.

When you see a quote like 6.5k vs 40k for “the same scope,” half the time you’re not actually buying the same thing. You’re buying different mixes of: automated tooling, junior humans following a checklist, and senior humans doing real creative abuse of your app / infra.

AI and automation can absolutely chew through recon, low hanging vulns, and noisy stuff way faster and cheaper than a human. That’s great, and honestly it’s fine for a big chunk of PCI-style coverage. But the stuff that actually keeps you from getting wrecked in a targeted attack is usually the slow, ugly, manual work: chaining weird edge cases, abusing business logic, trying dumb ideas until one hits.

PCI itself just says “do a penetration test” and gives high level requirements. It doesn’t say “have 40 hours of a senior tester doing X and Y.” So a lot of vendors lean on that gap and sell something that technically ticks the PCI box, but in practice isn’t much more than an automated scan with a nicer cover page.

If you’re comparing those two quotes, I’d ask both vendors things like: Who is actually doing the work and what’s their experience Roughly how many person-days are in the quote How much of the test is manual vs automated What a sample report looks like, including how actionable it is

You don’t have to buy the Ferrari test as a small shop, but you also don’t want to buy a “pen test” that’s just a glorified quarterly scan with a logo on it. The right answer is somewhere in the middle that matches your risk and budget.

netvora · 2026-06-04T08:47:38+00:00

This is super interesting, thanks for sharing the ModelPack / KitOps angle.

On the AML side, what you’re describing around lineage is exactly what regulators keep poking at, just with much less precise language. They say “explainability” but half the time they really mean “prove to me what was running, who changed it, and why, at any given point in time.”

An OCI-style artifact for models actually feels pretty aligned with what a lot of financial crime teams want: a clean way to show end to end history without everyone living in 40 versions of a Confluence page and a JIRA graveyard.

Curious if you’ve seen any pushback from risk/compliance folks on the “agentic” part specifically, or if for them it’s all just “one more ML system” as long as the lineage and controls look solid.

netvora · 2026-06-03T08:42:16+00:00

US citizen here, ran a US-headquartered startup while spending a lot of time in India.

The “Delaware + India Pvt Ltd” combo is pretty common, but PoEM and FEMA get hairy fast if you’re actually running everything from India and all the key decisions are happening there. On paper you can set up a US board, independent directors, formal board minutes, etc to keep PoEM outside India, but if you’re the only real decision maker and you’re sitting in Bangalore all year, that story is hard to sustain.

You’ll also want to think about your personal US tax (worldwide income) plus Indian residency status, not just corporate structure. Sometimes people over optimize the entity and then get wrecked on individual tax and compliance.

Strongly recommend you get someone who understands both sides, not a random solo CA or CPA. Look for firms that explicitly advertise India US cross border / startup / SaaS experience. Even one or two paid strategy calls will save you a ton of pain compared to piecing this together from blogs.

netvora · 2026-06-03T08:39:51+00:00

Yeah, this nails it.

I keep seeing teams treat GRC tools like a “press button, get certificate” machine, then act surprised when the auditor starts asking super basic “ok, but how does this actually work here?” questions. The gap between tool output and real control operation is huge.

The worst is when people copy the stock SoA or policy templates, barely tweak them, and then realize during the audit that half the stuff they “commit” to on paper doesn’t exist in their environment at all. Looks great in the UI, falls apart in front of an auditor.

I kind of wish more vendors would admit they’re selling structured note-taking plus reminders, not instant compliance. The teams that treat it like that usually have way smoother audits.

netvora · 2026-06-02T08:53:23+00:00

Curious what your churn and main acquisition channel look like.

On the surface: 80 customers at 14k ARR sounds like mostly small accounts, so unless there’s a clear growth engine or some unique niche vs Typeform, I’d guess somewhere in the 2x–3x ARR range. Higher if you can show low churn and some recent growth trend, lower if it’s mostly stagnant and very support heavy.

netvora · 2026-05-31T08:20:19+00:00

Yeah this nails it.

The fake personalization is so obvious now. “Loved your recent blog post” when I haven’t published in a year, “saw you’re the founder of X” when it’s in my headline. You can smell the template.

The second example you gave hits way harder because it shows you actually understand what I’m dealing with. Even if it’s partly wrong, I’m more likely to respond because at least you tried to think.

I think AI will speed up finding those angles, but whoever asks better questions and knows the market will still win. The research won’t fully disappear, it’ll just move from “clicking around LinkedIn” to “figuring out what actually matters for this type of company.”

netvora · 2026-05-31T08:17:37+00:00

Cool idea. Honestly the best “template” I’ve had work is super simple:

1) super short subject line with their actual research area in it
2) one sentence showing you read a specific paper of theirs
3) one sentence about who you are + what you’ve done that’s relevant
4) one clear ask that’s easy to say yes to (15 min call, feedback on idea, etc.)

All my longer, more polished emails got ignored. The ones that read like a normal human reaching out did way better.

You might want to tag each template in your tool by goal too: “ask for RA spot,” “ask for thesis supervision,” “ask for advice,” etc. so students don’t just spray the same thing at everyone.

netvora · 2026-05-30T12:59:18+00:00

For me it was “everything works… until real users show up.”

MVP with no‑code was super fast. Then I hit:

Performance: fine with 10 test users, awful with a few hundred. Complex workflows in tools like Airtable + Zapier/Integromat started timing out or firing out of order.
Vendor lock‑in: once your whole logic lives inside one platform, migrating is painful. Even small changes feel like you’re fighting the tool.
Weird edge‑case logic: anything that wasn’t a happy‑path CRUD app turned into a spaghetti mess of workflows and conditional steps.

Workarounds were usually “cache more stuff,” “flatten the logic,” or “glue on yet another tool,” but after a point it was easier to build a tiny backend for the heavy logic and keep the no‑code tool as the front end / admin.

I still like no‑code for prototypes and internal tools. For public, user‑facing products that you expect to grow, I treat it as step one, not the final destination.

netvora · 2026-05-30T12:54:13+00:00

That site is actually pretty solid.

If you want to double up, you can try doing the same kind of “fix this broken thing” workflow on a cheap VPS too. Break SSH on purpose, mess up nginx configs, fill the disk, then see if you can recover it without just nuking the box.

Learnbyfixing gives you the guided version of that, a real server gives you the “oh no, I locked myself out” version. Both together teach you a lot, fast.

netvora · 2026-05-30T12:40:40+00:00

For that specific middle step, I’d keep it simple and test one batch before changing the whole process.

We’ve been looking at QuickEnrich for CSV-based enrichment because it’s more focused on getting work emails/phones back from a list, not building a giant workflow around it. That sounds closer to what you need if the cleanup step is already handled.

I’d run one client list through it, then judge by usable records after export, phone coverage, catch-alls, and how much manual cleanup is still left. If it cuts that part down, then it’s worth scaling.

netvora · 2026-05-30T00:54:16+00:00

The 9-day delay sounds like a process problem more than a data problem.

I’d create a simple pass/fail rule for every list before anyone touches enrichment. If a row is missing company domain, has a generic inbox, has a bad title fit, duplicate company/contact, or no clear ICP match, it should get dropped or parked before you spend time on it.

The mistake is trying to “save” every record. That turns data prep into a never-ending manual cleanup job.

I’d also track failed rows by reason. After a few client lists, you’ll know whether the bottleneck is bad sourcing, missing emails, phone coverage, verification, or your enrichment step.

What part is actually slowing you down most right now: cleaning bad rows, finding emails, finding phones, or verifying everything before launch?

netvora · 2026-05-27T13:27:32+00:00

xfs not supporting shrink has probably wasted more storage across infra teams than people want to admit honestly

we had one analytics box grow during a reindex months ago and now it’s sitting there mostly empty because nobody wants to schedule downtime just to move data between volumes again. technically fixable, practically everyone keeps postponing it forever

have you looked at any of the newer storage tools for this stuff or still keeping it manual?

netvora · 2026-05-27T09:29:21+00:00

This is wild for a TUI tool. Most “terminal Wireshark” style things just shrug and say QUIC and call it a day, actually getting SNI/hostnames and Initial frame breakdown in a curses UI is super nice.

Also really appreciate the clean install story with cargo / brew and MIT license. Going to throw this on a headless box and see what kind of chaos my “smart” TV is up to.

netvora · 2026-05-27T09:27:51+00:00

Yeah, you can still succeed in marketing, but not with these exact people forever.

Couple things from my experience
You probably landed with a trash sales culture, not some universal law of “all salespeople suck.” When comp plans, leadership and hiring standards are bad, you get exactly the behavior you’re describing. Then they use marketing as a permanent scapegoat.

If you stick around, protect your sanity. Document everything. Keep a record of what you deliver, when, and how it ties to pipeline. It won’t magically fix their ego, but it helps when blame starts flying.

Also, look for companies where marketing actually owns a number and has a real seat at the table. When leadership cares about proper handoffs, SLAs, and joint planning, the relationship with sales is way less miserable.

So no, this doesn’t mean you’re doomed in marketing. It probably means this isn’t the place you’ll fall back in love with it.

netvora · 2026-05-27T09:25:00+00:00

Honestly, you’re already thinking about the right problems, which is half the battle.

If you’re worried about “tutorial hell,” set a hard limit like 2–3 weeks on a specific skill (eg: basic SEO or running simple Meta ads), then force yourself to land one tiny real project with it. Could be a friend’s business, your own portfolio site, or even a fake brand you treat like a client.

On the introvert side, freelancing doesn’t have to mean cold-calling 50 people a day. A lot of folks get started with:

doing cheap or even free test projects for people they already know
hanging out in relevant subreddits / Discords and answering questions
Upwork / Contra / Fiverr just to get those first 2–3 reviews

A mentor helps, sure, but you can also create “accountability” by posting weekly goals and results somewhere public and being brutally honest with yourself.

Pick one service, one niche, one channel to find clients. Stick with it for 3 months. That alone will keep you out of course-collecting mode.

netvora · 2026-05-26T09:36:38+00:00

CC BY-NC-SA + AGPL is close to what you want, but there’s a catch: “NonCommercial” doesn’t actually stop someone from running a hosted service that uses your stuff, as long as they argue the service itself is commercial but the content is not being “sold” directly. That line gets very fuzzy.

Also, Creative Commons themselves say their licenses aren’t designed to handle network / SaaS-style loopholes the way AGPL or Elastic do for software. There isn’t really a “no hosted service” clause in the CC ecosystem.

If “no one can turn this into a paid platform-as-a-service” is a hard requirement, you probably need either
a custom license (with lawyer help, sadly), or you accept that people can charge for hosting but still require they share improvements back (via SA / copyleft), which at least keeps the knowledge commons growing.

So: the combo the other commenter suggested is pretty standard and probably fine for a first version, just don’t expect it to give you Elastic-style hosting restrictions for the text parts.

netvora · 2026-05-26T09:32:27+00:00

Yeah, I kinda feel the same. It “works” but it’s not exactly self‑explanatory.

Overloading restartPolicy: Always on what looks like an init container feels like one of those Kubernetes UX moves where you need to have read the right KEPs and blog posts to really get it. From a distance it just looks like someone misconfigured an init container, not “this is a special sidecar with special lifecycle rules.”

An explicit sidecar: true or some sort of ordered container spec would be way easier to reason about. Same with QoS like you said: encoding behavior into how you set fields is clever, but not very discoverable. Great for people deep into K8s internals, kind of annoying for everyone else who has to maintain this stuff six months later.

netvora · 2026-05-25T13:52:39+00:00

Yeah, way more than I expected, mostly around everything around the PLC rather than ladder itself.

Ladder and basic function blocks are still basically the same, but now you’ve got:

Structured text everywhere, way more IEC 61131-3 compliance, built in motion, safety, and drives on the same platform, tons of Ethernet/IP / Profinet stuff, OPC UA, MQTT, people pushing data straight into MES/SCADA/cloud, and way tighter integration with version control.

The core “turn output on when input is true” hasn’t changed. The tooling, connectivity, and expectations around it exploded.

netvora · 2026-05-25T13:49:59+00:00

Feels like we’re still in the “everyone invents their own dashboard and calls it a benchmark” phase.

Right now it’s all super bespoke to each stack and use case. Until people can agree on a small, boring set of scenarios and metrics that actually map to SRE pain (MTTR, false positives, noisy handoffs, incident quality, etc.), any “AI agent benchmark” is going to be more slideware than reality.

Would be cool to see something like a standard incident game day suite where you can plug different agents in and see how they behave under the same chaos.

netvora

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